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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. 4952
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    Explanations

    people's surnames

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals and their names, particularly in the context of reputation or credibility

    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
     Cue
    -0.65
    CVE
    -0.65
     hearts
    -0.63
    tips
    -0.62
     mouths
    -0.62
    xual
    -0.59
     guts
    -0.58
    INESS
    -0.58
    Magikarp
    -0.58
     Thames
    -0.57
    POSITIVE LOGITS
    irement
    1.03
    arget
    1.01
    rieving
    0.91
    ribution
    0.89
    ret
    0.87
    rell
    0.87
    rov
    0.85
    ract
    0.85
    aneous
    0.84
    ting
    0.84
    Activations Density 0.007%

    No Known Activations