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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. 4-RES-JB
    11. 1892
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    Explanations

    references to collective entities or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to collective concepts and ideas

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

    No Comments

    Negative Logits
    xual
    -0.79
    ocrates
    -0.77
    geon
    -0.77
     Racer
    -0.74
    geons
    -0.72
    lyn
    -0.70
    boats
    -0.66
    nz
    -0.66
    ĺħ
    -0.66
    ĪĴ
    -0.66
    POSITIVE LOGITS
     bargaining
    1.14
     collective
    0.89
     endeavour
    0.75
    think
    0.75
    ivities
    0.74
     effort
    0.74
     gasp
    0.73
    iser
    0.73
     collectively
    0.71
     noun
    0.70
    Activations Density 0.015%

    No Known Activations