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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. 2-RES-JB
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    INDEX
    Explanations

    mentions of the word "wood"

    oai_token-act-pair · gpt-3.5-turbo

    references to wood or wooden structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     polar
    -0.82
     uncomp
    -0.67
     kindred
    -0.64
     prosecut
    -0.63
     xen
    -0.62
    utations
    -0.62
     delinquent
    -0.61
     superhuman
    -0.60
     pupils
    -0.59
    orsche
    -0.59
    POSITIVE LOGITS
    wood
    1.24
    mere
    1.17
    hurst
    1.00
    leigh
    1.00
    vale
    0.98
    seed
    0.97
    stock
    0.96
    bridge
    0.94
    land
    0.87
    mont
    0.86
    Activations Density 0.011%

    No Known Activations