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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. 19846
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    Explanations

    responses to questions or prompts

    oai_token-act-pair · gpt-3.5-turbo

    instances of dialogue or responses in a conversational context

    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
    icipated
    -0.80
    ICES
    -0.73
    agra
    -0.67
    Pont
    -0.63
    cases
    -0.61
    illon
    -0.58
    sterdam
    -0.58
    sylvania
    -0.57
    OTAL
    -0.55
    levels
    -0.55
    POSITIVE LOGITS
     sarcast
    1.02
     emphatically
    1.00
     yes
    0.98
     bluntly
    0.98
     affirmative
    0.92
     incred
    0.90
     adam
    0.87
    okingly
    0.84
     politely
    0.82
     Nope
    0.80
    Activations Density 0.193%

    No Known Activations