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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. 3-RES-JB
    11. 9313
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    INDEX
    Explanations

    the word "Sensitivity" repeated across different contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to political figures or senators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Zimbabwe
    -0.74
    ORD
    -0.73
     Worker
    -0.72
     Pakistani
    -0.71
     Taliban
    -0.67
     Starr
    -0.66
     Highlander
    -0.66
     Tanzania
    -0.66
     Warlock
    -0.65
    Else
    -0.63
    POSITIVE LOGITS
    itivity
    1.33
    itives
    1.21
    itive
    1.13
    cript
    1.05
    iors
    1.04
    atile
    1.04
    hip
    1.00
     Sens
    0.99
    ivities
    0.94
    igr
    0.93
    Activations Density 0.004%

    No Known Activations