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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. 9-RES-JB
    11. 24084
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    INDEX
    Explanations

    words related to specific names, locations, and historical events in various languages

    oai_token-act-pair · gpt-3.5-turbo

    proper names or specific titles, particularly those related to individuals or entities

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    itionally
    -0.66
    ovie
    -0.63
     accelerated
    -0.62
    alez
    -0.61
    iary
    -0.60
    ocobo
    -0.59
     killer
    -0.59
    arily
    -0.59
     dividing
    -0.59
    itutional
    -0.58
    POSITIVE LOGITS
    ng
    1.15
    nen
    1.10
    nder
    1.06
    ns
    1.03
    nt
    1.03
    tel
    1.01
    nda
    0.99
    nin
    0.99
    sa
    0.98
    ternity
    0.97
    Activations Density 0.035%

    No Known Activations