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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. 6-RES-JB
    11. 644
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ities
    -0.83
    hester
    -0.70
    ciation
    -0.69
     Hots
    -0.66
    alde
    -0.66
    illin
    -0.66
    entric
    -0.66
    anny
    -0.65
    urious
    -0.64
     Hebdo
    -0.64
    POSITIVE LOGITS
    track
    0.81
    abies
    0.78
    GROUND
    0.78
    packs
    0.73
    backed
    0.72
     whichever
    0.72
    steen
    0.71
    drive
    0.70
    vironment
    0.70
    byn
    0.69
    Activations Density 0.026%

    No Known Activations