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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. 4412
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    Explanations

    matches related to sports teams or organizations

    oai_token-act-pair · gpt-3.5-turbo

    mnemonics or shorthand related to 'Boston' and 'obituaries'

    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
    geist
    -0.84
    gew
    -0.78
    uality
    -0.77
    enced
    -0.75
    alam
    -0.74
    ources
    -0.73
    ional
    -0.73
    arians
    -0.73
    andr
    -0.72
    mary
    -0.71
    POSITIVE LOGITS
    JECT
    1.22
    ARD
    1.20
    BO
    1.17
    ATH
    1.13
    OTS
    1.10
    ARDS
    1.09
    OT
    1.07
    BY
    1.04
    ISE
    1.03
    STON
    1.03
    Activations Density 0.020%

    No Known Activations