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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. 3-RES-JB
    11. 3575
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    Explanations

    words related to locations and activities commonly found in a community, such as "bowling alleys"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of bowling and associated individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ophysical
    -0.75
    ropri
    -0.72
     pg
    -0.69
    onym
    -0.66
    uchin
    -0.65
    opol
    -0.64
    oqu
    -0.64
    ickr
    -0.62
    obar
    -0.62
    itutional
    -0.62
    POSITIVE LOGITS
    gren
    0.84
    LED
    0.82
    backer
    0.78
    LINE
    0.77
    leneck
    0.75
    zig
    0.72
    LAND
    0.70
    lining
    0.69
    bats
    0.69
    bread
    0.67
    Activations Density 0.026%

    No Known Activations