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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. 18648
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    Explanations

    terms related to names of specific projects or platforms

    oai_token-act-pair · gpt-3.5-turbo

    references to specific streaming services or platforms

    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
    Downloadha
    -0.77
    ces
    -0.76
     misunderstanding
    -0.72
    bery
    -0.71
    senal
    -0.69
    pend
    -0.66
    pper
    -0.65
     Franklin
    -0.64
     glac
    -0.63
    bably
    -0.63
    POSITIVE LOGITS
     Stream
    1.64
    Stream
    0.95
    halla
    0.93
    atcher
    0.91
    stream
    0.89
     Codec
    0.84
    enium
    0.83
    REAM
    0.82
    lining
    0.78
    odon
    0.76
    Activations Density 0.006%

    No Known Activations