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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. 7-RES-JB
    11. 4926
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    Explanations

    phrases related to allocation of resources or efforts towards specific goals

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and phrases indicating relationships or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Attempts
    -0.78
    ãĤ©
    -0.77
    \\\\\\\\
    -0.72
    @@@@
    -0.69
    Merit
    -0.68
     deserves
    -0.68
    Password
    -0.67
    ENTS
    -0.66
    Attempt
    -0.64
    NESS
    -0.64
    POSITIVE LOGITS
     both
    0.79
     other
    0.70
     various
    0.68
     varying
    0.65
     different
    0.65
     kindred
    0.64
    arent
    0.63
     museums
    0.61
    tnc
    0.61
    older
    0.61
    Activations Density 0.650%

    No Known Activations