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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. 7-RES-JB
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    Explanations

    mentions of the material "aluminum"

    oai_token-act-pair · gpt-3.5-turbo

    references to aluminum in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imaru
    -0.80
    rists
    -0.78
    eful
    -0.75
    @#&
    -0.74
    zee
    -0.73
    leaders
    -0.72
     Petraeus
    -0.71
    arios
    -0.70
    fare
    -0.70
    eu
    -0.67
    POSITIVE LOGITS
     oxide
    1.23
     foil
    1.22
     alloy
    1.17
    anguage
    1.09
     aluminum
    0.94
     Alloy
    0.90
     cans
    0.90
    uminum
    0.86
    nesium
    0.82
     chloride
    0.81
    Activations Density 0.040%

    No Known Activations