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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. 9-RES-JB
    11. 3056
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    Explanations

    terms related to project planning and development

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the processes of writing, planning, and developing creative projects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    byter
    -0.69
    incinn
    -0.61
    agog
    -0.57
     contrary
    -0.56
    lasses
    -0.55
     ordinary
    -0.55
     exceptions
    -0.55
    missible
    -0.55
    rican
    -0.54
    ucl
    -0.54
    POSITIVE LOGITS
     process
    1.17
     phase
    0.91
     stage
    0.88
     stages
    0.81
    iest
    0.81
     behind
    0.80
    idelines
    0.79
     portion
    0.79
    team
    0.74
     of
    0.74
    Activations Density 0.400%

    No Known Activations