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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. 6-RES-JB
    11. 7465
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    INDEX
    Explanations

    initials followed by a numerical value

    oai_token-act-pair · gpt-3.5-turbo

    the presence of a specific marker or tag

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iform
    -0.87
    Attempts
    -0.80
    naire
    -0.79
    adic
    -0.79
    eca
    -0.79
    atom
    -0.78
    aghan
    -0.77
    lio
    -0.76
    gradation
    -0.76
    onite
    -0.75
    POSITIVE LOGITS
    IELD
    1.30
    IFT
    1.20
    ARE
    1.17
    OST
    1.15
    ORT
    1.14
    IPP
    1.13
    OA
    1.12
    ORTS
    1.11
    AR
    1.10
    IK
    1.10
    Activations Density 0.044%

    No Known Activations