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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. 7-RES-JB
    11. 9357
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    Explanations

    people's names

    oai_token-act-pair · gpt-3.5-turbo

    references to names and identities in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    .;
    -0.80
    hig
    -0.76
    .:
    -0.73
    .",
    -0.71
    easy
    -0.67
    odic
    -0.64
    ossibility
    -0.63
    $.
    -0.63
    nova
    -0.61
    ./
    -0.61
    POSITIVE LOGITS
     spans
    0.86
     resembles
    0.79
     happens
    0.78
     dominates
    0.78
     coincides
    0.77
     exceeds
    0.75
     corresponds
    0.74
     resembled
    0.74
     overl
    0.74
     preceded
    0.74
    Activations Density 0.117%

    No Known Activations