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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. 9-RES-JB
    11. 14319
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    bracketed sections or annotations within the text

    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
    Not in Any Lists

    No Comments

    Negative Logits
     intellig
    -0.70
    wagen
    -0.68
     equivalents
    -0.65
     therape
    -0.65
     intermitt
    -0.64
     plantations
    -0.64
     appreci
    -0.63
     erect
    -0.63
     treating
    -0.62
     dispers
    -0.62
    POSITIVE LOGITS
    REDACTED
    1.24
    ?]
    1.23
    !]
    1.21
    actionDate
    1.19
    ...]
    1.17
    email
    1.15
    ](
    1.09
    âĢ¦]
    1.07
     edit
    1.06
    img
    1.01
    Activations Density 0.046%

    No Known Activations