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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

    mentions of the word "ice"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "ice" in various contexts

    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
    asca
    -0.76
    ajo
    -0.74
    yrinth
    -0.70
    risk
    -0.70
    omination
    -0.70
    hovah
    -0.69
    ged
    -0.69
    merce
    -0.69
    lisher
    -0.68
    INGTON
    -0.68
    POSITIVE LOGITS
    lli
    1.20
    llular
    1.15
    lla
    1.07
    llan
    1.06
    xp
    0.98
    llo
    0.95
    cream
    0.92
    utical
    0.89
    ptive
    0.87
    pick
    0.85
    Activations Density 0.036%

    No Known Activations