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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. 12-RES-JB
    11. 3712
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    Explanations

    mentions of a specific newspaper's name followed by an instruction or statement

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to the New York Times and associated content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     promot
    -0.64
     exha
    -0.61
    paio
    -0.59
     redes
    -0.58
    MAP
    -0.57
     streng
    -0.56
    emi
    -0.55
     neighb
    -0.55
    pill
    -0.55
     pestic
    -0.54
    POSITIVE LOGITS
    lest
    0.70
    bies
    0.69
    ########
    0.67
    eters
    0.66
    aments
    0.65
    athing
    0.64
    wing
    0.63
    doms
    0.63
    lers
    0.63
    utations
    0.61
    Activations Density 0.166%

    No Known Activations