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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. 16829
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    Explanations

    phrases related to ethics and social issues

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" in various contexts within the text

    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
    odcast
    -0.66
     Powered
    -0.64
    Sup
    -0.61
    SPA
    -0.60
    IRE
    -0.59
    ://
    -0.59
    wire
    -0.59
    Street
    -0.58
    Requirements
    -0.58
    CRIP
    -0.57
    POSITIVE LOGITS
    rogen
    1.14
     therefore
    1.08
    rogens
    1.05
     consequently
    1.01
     then
    0.92
     possibly
    0.88
     thus
    0.86
     maybe
    0.85
     hence
    0.85
     secondly
    0.84
    Activations Density 0.474%

    No Known Activations