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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. 1-RES-JB
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    Explanations

    mentions of talent and abilities

    oai_token-act-pair · gpt-3.5-turbo

    references to talent and abilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alone
    -0.71
    FACE
    -0.69
    soon
    -0.68
    ennett
    -0.65
    nee
    -0.65
    sole
    -0.65
    eor
    -0.64
    agher
    -0.62
    ñ
    -0.61
    ramid
    -0.61
    POSITIVE LOGITS
     talent
    1.47
     talents
    1.26
     Talent
    0.96
    smanship
    0.87
    anooga
    0.82
     eval
    0.76
     performer
    0.75
     performers
    0.74
     minds
    0.72
     excellence
    0.72
    Activations Density 0.007%

    No Known Activations