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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. 10-RES-JB
    11. 7115
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    INDEX
    Explanations

    personal pronouns followed by verbs

    oai_token-act-pair · gpt-3.5-turbo

    references to the reader or audience

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¿½
    -0.71
     admitting
    -0.71
    ulner
    -0.70
    £ı
    -0.68
     concentrating
    -0.65
    arthed
    -0.65
    ĸļ
    -0.64
    dq
    -0.64
     slowing
    -0.61
    alky
    -0.59
    POSITIVE LOGITS
    'll
    1.31
    Tube
    1.06
     can
    1.04
     guys
    1.03
    're
    1.02
     MUST
    1.02
    tub
    0.94
     guessed
    0.94
    Gov
    0.91
     mileage
    0.89
    Activations Density 0.120%

    No Known Activations