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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. 20675
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    Explanations

    words related to being mentioned or named in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    words related to being nameless or lacking identity

    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
    agan
    -0.67
    angers
    -0.63
     quint
    -0.59
    neg
    -0.59
     urgent
    -0.59
     indict
    -0.57
     weave
    -0.57
    few
    -0.57
     convict
    -0.56
    interpret
    -0.56
    POSITIVE LOGITS
    ames
    1.03
    ame
    0.96
    amia
    0.86
    ication
    0.83
    icate
    0.80
    gaard
    0.79
    eus
    0.79
    amed
    0.78
    orie
    0.77
    icist
    0.75
    Activations Density 0.012%

    No Known Activations