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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. 6-RES-JB
    11. 18818
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    Explanations

    words related to important actions or events

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with acknowledgment and critique in a narrative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Gleaming
    -0.76
     brightly
    -0.70
     dearly
    -0.65
    versely
    -0.58
     certific
    -0.58
     cultured
    -0.58
     Clapper
    -0.56
     fancy
    -0.55
     dreaded
    -0.55
     brightest
    -0.54
    POSITIVE LOGITS
     thereof
    0.84
    ounters
    0.79
    izen
    0.78
    PsyNetMessage
    0.74
    arna
    0.73
    pour
    0.72
    taboola
    0.71
     of
    0.70
    livion
    0.70
    ãĥīãĥ©
    0.70
    Activations Density 0.348%

    No Known Activations