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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. 4-RES-JB
    11. 13651
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    Explanations

    proper names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Roh"

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

    No Comments

    Negative Logits
    iliary
    -0.86
    ciating
    -0.73
     IMAGES
    -0.73
    nect
    -0.66
     dotted
    -0.65
     Panther
    -0.64
    ropolitan
    -0.63
    urse
    -0.63
     tongues
    -0.62
    DCS
    -0.62
    POSITIVE LOGITS
     Roh
    1.01
    rer
    0.87
    der
    0.87
    uling
    0.82
    atche
    0.82
    ata
    0.80
    mer
    0.75
    sten
    0.75
    kj
    0.73
    arty
    0.72
    Activations Density 0.006%

    No Known Activations