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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. 19689
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    Explanations

    expressions of satisfaction or dissatisfaction

    oai_token-act-pair · gpt-3.5-turbo

    expressions of satisfaction or dissatisfaction

    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
    isSpecialOrderable
    -0.89
    ourage
    -0.76
    soDeliveryDate
    -0.73
    opus
    -0.72
    nsics
    -0.68
    aniel
    -0.68
    Pub
    -0.68
     teasp
    -0.66
    cano
    -0.66
    jah
    -0.65
    POSITIVE LOGITS
     how
    0.98
     what
    0.84
     assurances
    0.79
     their
    0.73
     regards
    0.71
     inaction
    0.71
    awed
    0.71
     seeing
    0.69
     answers
    0.69
     results
    0.69
    Activations Density 0.175%

    No Known Activations