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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. 3-RES-JB
    11. 3844
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to life-threatening situations and medical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RP
    -0.74
    MOD
    -0.72
    RH
    -0.72
    elman
    -0.71
    liness
    -0.69
    Law
    -0.68
    Austin
    -0.67
    ä½ľ
    -0.67
    Co
    -0.67
    EY
    -0.67
    POSITIVE LOGITS
    atal
    1.11
    ities
    1.01
    anguage
    0.99
    thood
    0.91
    istic
    0.84
    etheless
    0.83
    idad
    0.80
    istically
    0.78
     airliner
    0.77
    tarians
    0.77
    Activations Density 0.008%

    No Known Activations