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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. 13944
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    Explanations

    proper names of individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    contextually relevant names, references, and identifiers in various media formats

    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
    cffff
    -0.85
     prelim
    -0.72
     respons
    -0.69
    20439
    -0.63
     confir
    -0.62
     therap
    -0.62
     pill
    -0.61
     subdiv
    -0.60
     canv
    -0.59
    yg
    -0.58
    POSITIVE LOGITS
     -
    1.41
     –
    1.36
    ãĥ»
    1.17
     ±
    1.02
    ++)
    1.00
     ~
    0.96
     --
    0.95
    –
    0.93
    _-_
    0.91
    --
    0.90
    Activations Density 0.160%

    No Known Activations