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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
    11. 15543
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    Explanations

    inclusion of items or entities in a list or group

    oai_token-act-pair · gpt-3.5-turbo

    phrases that denote lists or enumerations of items

    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
    acia
    -0.75
     exting
    -0.69
    rait
    -0.66
    ÃĥÃĤ
    -0.65
    osta
    -0.62
     Sabha
    -0.61
    uer
    -0.61
    aline
    -0.61
     proble
    -0.60
    bell
    -0.60
    POSITIVE LOGITS
     prominently
    0.71
    krit
    0.68
    clus
    0.65
    staking
    0.64
    ãĤ´
    0.64
    :-
    0.64
    ãģ¯
    0.62
     Include
    0.62
    ãĤ½
    0.61
    ments
    0.61
    Activations Density 0.062%

    No Known Activations