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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 12-RES-JB
    11. 4474
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    INDEX
    Explanations

    information related to production companies and individuals involved in film production

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to production teams and their contributions in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     confirming
    -0.56
    paren
    -0.54
     revealing
    -0.54
    xit
    -0.54
     suggesting
    -0.53
     sigh
    -0.53
     dismissing
    -0.51
     vanishing
    -0.51
     warning
    -0.51
    ifiable
    -0.51
    POSITIVE LOGITS
     relied
    1.00
     consisted
    0.95
     cared
    0.93
     utilized
    0.90
     depended
    0.86
     worked
    0.84
     wanted
    0.83
     interacted
    0.82
     transitioned
    0.81
     handled
    0.80
    Activations Density 0.818%

    No Known Activations