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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 23818
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    Explanations

    numerical values embedded within words

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "od"

    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
     Ago
    -0.74
    riott
    -0.66
     Citadel
    -0.64
     silence
    -0.64
     PAL
    -0.63
     Quinn
    -0.63
     Scand
    -0.62
    Ń·
    -0.61
     Falcon
    -0.61
     Crest
    -0.60
    POSITIVE LOGITS
    od
    1.34
    odon
    1.21
    yssey
    1.13
    iamond
    1.10
    amn
    1.08
    sworth
    1.06
    wig
    1.05
    opter
    1.04
    unn
    0.99
    ata
    0.99
    Activations Density 0.009%

    No Known Activations