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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
    11. 8609
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    INDEX
    Explanations

    potential associations or causal relationships

    oai_token-act-pair · gpt-3.5-turbo

    potential or hypothetical outcomes and associations

    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
    ament
    -0.76
    ash
    -0.76
    ainment
    -0.75
     ILCS
    -0.68
    ariat
    -0.68
    raint
    -0.66
    ogie
    -0.65
    cies
    -0.64
    lash
    -0.64
    usha
    -0.64
    POSITIVE LOGITS
     plaus
    0.97
     horm
    0.91
     derive
    0.87
     infer
    0.84
     inferred
    0.83
     contam
    0.81
     biologically
    0.80
     derived
    0.80
     influenced
    0.80
     attributable
    0.80
    Activations Density 0.214%

    No Known Activations