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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 5259
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    Explanations

    expressions of desire or regret related to various situations

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or regret

    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
    catentry
    -0.79
    furt
    -0.75
     brackets
    -0.65
     rail
    -0.62
     archae
    -0.61
     quot
    -0.58
     rapidly
    -0.58
     rails
    -0.57
     surprisingly
    -0.57
    ioxide
    -0.56
    POSITIVE LOGITS
    clus
    0.73
     Almighty
    0.70
     Thunderbolt
    0.67
    ACTED
    0.65
    undle
    0.65
    inite
    0.63
     emulate
    0.62
     Sacrifice
    0.61
    ipeg
    0.60
    owers
    0.59
    Activations Density 0.058%

    No Known Activations