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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. 23730
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    Explanations

    mentions of discussion panels or groups of experts

    oai_token-act-pair · gpt-3.5-turbo

    references to panels and panelists 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
    lihood
    -0.73
    yll
    -0.70
    DIT
    -0.69
     dx
    -0.68
    PHOTOS
    -0.67
     fundament
    -0.66
     Dame
    -0.63
     Breed
    -0.62
    CN
    -0.61
    DAY
    -0.61
    POSITIVE LOGITS
    ists
    1.13
    igans
    0.99
    ist
    0.90
    igan
    0.87
     panels
    0.84
    isode
    0.80
    chairs
    0.78
    members
    0.75
    ahon
    0.75
     panel
    0.74
    Activations Density 0.032%

    No Known Activations