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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. 13691
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    Explanations

    patterns of characters in a specific sequence, potentially related to codes or identifiers

    oai_token-act-pair · gpt-3.5-turbo

    the pronoun "I" in various contexts

    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
    theless
    -0.75
    nets
    -0.74
    ding
    -0.68
    rules
    -0.67
    rooms
    -0.66
    ded
    -0.65
    ilaterally
    -0.64
    pool
    -0.64
    halla
    -0.62
    lap
    -0.62
    POSITIVE LOGITS
    OUS
    1.20
    RECT
    1.20
    YA
    1.19
    KE
    1.14
    AMI
    1.13
    WI
    1.09
    BILITY
    1.08
    OGR
    1.05
    KK
    1.04
    ANS
    1.04
    Activations Density 0.053%

    No Known Activations