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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. 11-RES-JB
    11. 2444
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    Explanations

    phrases involving actions or statements made by multiple people

    oai_token-act-pair · gpt-3.5-turbo

    references to collective actions and statements involving people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    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_pre
    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
    izable
    -0.66
    Fine
    -0.61
    oven
    -0.57
    below
    -0.56
    urable
    -0.55
    vable
    -0.54
    withstanding
    -0.52
     extant
    -0.52
     Mellon
    -0.52
     Albion
    -0.51
    POSITIVE LOGITS
     invariably
    1.40
     usually
    1.19
     inevitably
    1.14
     immediately
    1.06
     typically
    1.05
     often
    1.02
     always
    0.97
    usually
    0.92
     ALWAYS
    0.91
    often
    0.91
    Activations Density 0.287%

    No Known Activations