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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. 8776
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    Explanations

    phrases related to the effectiveness or impact of actions or decisions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to responsibility and consequences

    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
    cknowled
    -0.82
     fing
    -0.71
     Nanto
    -0.71
    stan
    -0.68
     Stein
    -0.67
    Tan
    -0.67
     Ded
    -0.66
     Goo
    -0.63
     resignation
    -0.62
     resigned
    -0.61
    POSITIVE LOGITS
     interstate
    0.88
    acea
    0.88
    effect
    0.85
    orage
    0.76
    inav
    0.75
    arget
    0.74
     stimulate
    0.74
     harm
    0.73
     throughput
    0.72
     effect
    0.72
    Activations Density 0.803%

    No Known Activations