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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. 1-RES-JB
    11. 7213
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    Explanations

    words related to helicopters

    oai_token-act-pair · gpt-3.5-turbo

    words related to choices or decision-making

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DEF
    -0.91
    HCR
    -0.87
    HAEL
    -0.85
    STD
    -0.85
    IDENT
    -0.81
    NRS
    -0.80
    ALD
    -0.80
    FORE
    -0.80
    ROR
    -0.79
    Adult
    -0.79
    POSITIVE LOGITS
     cho
    1.48
    ppy
    0.96
    pper
    0.90
     pse
    0.87
    ppers
    0.83
     strugg
    0.81
    bably
    0.78
     lapt
    0.78
    ices
    0.77
    aned
    0.76
    Activations Density 0.006%

    No Known Activations