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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. 4-RES-JB
    11. 2081
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    Explanations

    warnings or recommendations of caution

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of caution

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

    No Comments

    Negative Logits
    JECT
    -0.66
     Beet
    -0.65
    chrom
    -0.65
    mitt
    -0.64
    corn
    -0.64
    estone
    -0.63
    Ve
    -0.63
    leased
    -0.63
    haul
    -0.63
    bish
    -0.63
    POSITIVE LOGITS
     caution
    1.05
    ary
    0.94
    ously
    0.81
    urous
    0.78
    autions
    0.77
    iously
    0.72
    fully
    0.70
    atory
    0.68
    lessly
    0.68
    uci
    0.67
    Activations Density 0.010%

    No Known Activations