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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 4103
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    Explanations

    phrases related to specific actions or events within a process or narrative

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.73
    but
    -0.52
    sbm
    -0.52
    rored
    -0.50
    ursday
    -0.50
     Zup
    -0.49
    stood
    -0.49
    oris
    -0.48
    estern
    -0.46
    endon
    -0.45
    POSITIVE LOGITS
     afterward
    1.12
     afterwards
    1.05
     accordingly
    1.00
    *.
    0.98
     instead
    0.98
     ðŁĻĤ
    0.91
    .?
    0.91
    !.
    0.87
    .*
    0.87
     whenever
    0.86
    Activations Density 0.947%

    No Known Activations