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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. 8508
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    Explanations

    words related to actions that disrupt or interfere with something

    oai_token-act-pair · gpt-3.5-turbo

    words related to subtlety and nuanced themes

    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
    ioch
    -0.94
    ostics
    -0.83
    omes
    -0.80
    vernment
    -0.77
    uries
    -0.76
    govtrack
    -0.72
    incerity
    -0.71
    ß
    -0.66
    ividual
    -0.66
    regate
    -0.65
    POSITIVE LOGITS
    butt
    1.54
    tle
    1.15
    brate
    0.96
    brates
    0.91
    fish
    0.89
    ty
    0.86
    mont
    0.83
    mouth
    0.80
    bum
    0.80
    cker
    0.80
    Activations Density 0.014%

    No Known Activations