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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. 10-RES-JB
    11. 20276
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    INDEX
    Explanations

    predictions or possibilities

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs indicating possibility or uncertainty

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    perty
    -0.67
    akers
    -0.66
    rency
    -0.64
     Enhancement
    -0.63
    usha
    -0.63
    avis
    -0.58
    ologue
    -0.58
     Named
    -0.58
     performing
    -0.58
    vis
    -0.58
    POSITIVE LOGITS
     happen
    1.25
     mean
    1.22
     imply
    1.01
     entail
    1.00
     translate
    0.99
     explain
    0.98
    mean
    0.98
     horr
    0.92
     result
    0.91
     means
    0.91
    Activations Density 0.131%

    No Known Activations