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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. 8-RES-JB
    11. 8480
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    Explanations

    details related to events, actions, and movement

    oai_token-act-pair · gpt-3.5-turbo

    significant events or discoveries related to personal or family life

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itiz
    -0.59
    nostic
    -0.55
    compan
    -0.55
    availability
    -0.55
    States
    -0.53
    inel
    -0.51
     translates
    -0.51
     denotes
    -0.51
    pect
    -0.50
     relies
    -0.50
    POSITIVE LOGITS
     themselves
    1.32
     collectively
    1.05
    selves
    1.03
     together
    0.99
     their
    0.96
     selves
    0.94
     unison
    0.92
     THEIR
    0.89
     jointly
    0.89
    their
    0.86
    Activations Density 1.421%

    No Known Activations