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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. 4-RES-JB
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    Explanations

    the word "ice" used in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     scrut
    -0.80
    hovah
    -0.76
    asca
    -0.76
    uilt
    -0.74
    ¥ŀ
    -0.73
    ajo
    -0.73
    verb
    -0.71
    semb
    -0.71
     challeng
    -0.70
    omination
    -0.70
    POSITIVE LOGITS
    lli
    1.19
    lla
    1.11
    llo
    1.08
    llular
    1.08
    ice
    0.95
    xp
    0.93
    llan
    0.88
    ll
    0.83
    ptive
    0.81
    utics
    0.81
    Activations Density 0.010%

    No Known Activations