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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. 20442
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    sentences that convey directives or recommendations concerning a situation

    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
    etsk
    -0.74
    lahoma
    -0.73
    atur
    -0.67
    pless
    -0.65
    aday
    -0.64
    pired
    -0.64
    oxide
    -0.64
    assetsadobe
    -0.63
    llular
    -0.63
    Downloadha
    -0.63
    POSITIVE LOGITS
    LES
    1.41
    LY
    1.38
    MENT
    1.35
    EST
    1.33
    ING
    1.33
    HEAD
    1.31
    IES
    1.30
    IONS
    1.29
     WITH
    1.29
    ION
    1.28
    Activations Density 0.161%

    No Known Activations