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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. 0-RES-JB
    11. 19069
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    Explanations

    words related to processes or activities

    oai_token-act-pair · gpt-3.5-turbo

    words related to excessive amounts or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Murd
    -0.68
     races
    -0.61
     extrad
    -0.60
     endangered
    -0.59
     Story
    -0.59
     biologists
    -0.58
     afar
    -0.58
     canv
    -0.58
     informants
    -0.57
     Hunter
    -0.56
    POSITIVE LOGITS
    cess
    4.85
    cession
    2.25
    cessive
    1.67
     cess
    1.25
    ciples
    1.03
    ced
    1.03
    ccess
    1.02
    ipation
    1.01
    sequ
    0.97
    ject
    0.97
    Activations Density 0.010%

    No Known Activations