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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. 16205
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    Explanations

    numeric expressions

    oai_token-act-pair · gpt-3.5-turbo

    quantitative expressions or indicators of numerical values

    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
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    No Comments

    Negative Logits
    venge
    -0.77
    buf
    -0.68
    icism
    -0.67
    cha
    -0.66
    nature
    -0.66
    chat
    -0.65
    rium
    -0.65
    reon
    -0.64
    rog
    -0.63
    grim
    -0.62
    POSITIVE LOGITS
     acres
    1.12
     years
    1.11
     hours
    1.07
     pounds
    1.06
     pages
    1.01
     percent
    1.01
    percent
    1.01
     miles
    1.00
     gallons
    1.00
    years
    0.99
    Activations Density 0.057%

    No Known Activations