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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. 1-RES-JB
    11. 1031
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    Explanations

    references to specific locations or places, particularly those named "Port"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Port"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤŃ
    -0.66
    ãĥ£
    -0.62
    ãĥ©ãĥ³
    -0.62
    UNCH
    -0.61
    FUL
    -0.59
     chem
    -0.58
    ATHER
    -0.58
    Rated
    -0.57
    pta
    -0.57
    hower
    -0.57
    POSITIVE LOGITS
    folios
    1.46
    folio
    1.39
    rait
    1.26
    raits
    1.13
    ugal
    0.95
     Port
    0.95
    Port
    0.91
    eur
    0.84
    port
    0.84
    ilage
    0.83
    Activations Density 0.008%

    No Known Activations