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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. 9-RES-JB
    11. 23156
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    Explanations

    verbs or nouns related to decision-making and taking action

    oai_token-act-pair · gpt-3.5-turbo

    terms related to formal declarations and decisions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     horm
    -0.64
    cheon
    -0.64
    sei
    -0.60
     peppers
    -0.56
    argon
    -0.55
    verages
    -0.55
    created
    -0.55
     gases
    -0.54
    Hor
    -0.54
     totality
    -0.54
    POSITIVE LOGITS
    olate
    0.74
    roads
    0.73
     mistake
    0.69
     unilaterally
    0.68
    ylum
    0.66
     noises
    0.66
    itant
    0.64
    isance
    0.63
    sense
    0.63
     payable
    0.63
    Activations Density 0.115%

    No Known Activations