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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 2376
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    Explanations

    proper nouns related to different regions and organizations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "for" followed by a mention of specific entities or subjects

    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
     Deliver
    -0.64
    arov
    -0.64
     <@
    -0.61
    Override
    -0.59
     forward
    -0.59
    strom
    -0.57
    atars
    -0.57
    è£ħ
    -0.55
    é¾įå¥ij士
    -0.55
    ìĿ
    -0.54
    POSITIVE LOGITS
     please
    0.82
    icion
    0.75
    enei
    0.72
    orsi
    0.71
     sake
    0.65
    please
    0.64
    apego
    0.63
     Lies
    0.62
    dfx
    0.62
     Sins
    0.62
    Activations Density 0.193%

    No Known Activations