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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. 8-RES-JB
    11. 11798
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    Explanations

    phrases or sentences where someone or something is being named or identified in a specific way

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "called" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olitics
    -0.85
    edia
    -0.84
    isode
    -0.73
    bilt
    -0.73
    iland
    -0.70
    yip
    -0.65
    enture
    -0.64
    feat
    -0.64
    ment
    -0.63
    nown
    -0.62
    POSITIVE LOGITS
     upon
    0.80
     forth
    0.72
    oused
    0.65
     Attention
    0.65
     bluff
    0.64
     attention
    0.63
    igraph
    0.63
     hostage
    0.62
     into
    0.60
     Widow
    0.58
    Activations Density 0.049%

    No Known Activations