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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
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    Explanations

    the adjective "vast."

    oai_token-act-pair · gpt-3.5-turbo

    the word "vast" used in conjunction with quantitative assessments or descriptions

    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
    iffe
    -0.71
    PT
    -0.70
    ienced
    -0.67
    imer
    -0.64
    headers
    -0.63
    MI
    -0.63
    emy
    -0.63
    someone
    -0.62
    girls
    -0.62
    ME
    -0.61
    POSITIVE LOGITS
     majority
    1.00
     quantities
    0.95
     swath
    0.93
    itud
    0.92
     amounts
    0.92
     swat
    0.89
     expans
    0.89
     gulf
    0.87
     sums
    0.81
     array
    0.80
    Activations Density 0.040%

    No Known Activations