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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. 5-RES-JB
    6. 14528
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    Explanations

    dates presented in a consistent format

    oai_token-act-pair · gpt-3.5-turbo

    dates and references to significant events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ktop
    -0.65
    \\\\\\\\
    -0.59
    çͰ
    -0.58
    Ô
    -0.57
    esson
    -0.56
    Ö
    -0.55
    llan
    -0.55
    quit
    -0.55
    ivas
    -0.54
    è»
    -0.52
    POSITIVE LOGITS
     respective
    0.78
     apiece
    0.65
     respectively
    0.59
    including
    0.58
     ranging
    0.55
    regular
    0.55
     varying
    0.55
     including
    0.54
     individually
    0.54
     interacted
    0.54
    Activations Density 2.347%

    No Known Activations