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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 22677
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    )."
    -0.32
    talk
    -0.30
    ).[
    -0.29
    ?).
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    )).
    -0.28
    ]."
    -0.27
    iHUD
    -0.27
    !".
    -0.27
    åĮ
    -0.27
     sshd
    -0.27
    POSITIVE LOGITS
    atform
    0.28
    Split
    0.27
    resa
    0.27
    iple
    0.26
    earchers
    0.26
    iguous
    0.26
    =-=-
    0.26
    Published
    0.25
    odore
    0.25
    axy
    0.24
    Activations Density 6.419%

    No Known Activations