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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. 9-RES-JB
    6. 11571
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    Explanations

    phrases related to actions or processes that involve a sequence of steps

    oai_token-act-pair · gpt-3.5-turbo

    procedural instructions or steps in a process

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     contrary
    -0.72
    paren
    -0.72
    disabled
    -0.68
     contradicted
    -0.66
    anity
    -0.66
    ¥µ
    -0.65
    angering
    -0.65
    esity
    -0.65
    atro
    -0.65
    Russ
    -0.64
    POSITIVE LOGITS
     then
    1.13
     optionally
    1.07
     assigns
    1.01
     determines
    0.99
     prest
    0.97
     whichever
    0.95
     assign
    0.92
     executes
    0.92
     THEN
    0.91
     sends
    0.91
    Activations Density 0.641%

    No Known Activations