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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. 5-RES-JB
    6. 9072
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to news networks and their associated content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiName
    -0.68
    CONCLUS
    -0.59
    depend
    -0.59
     '.
    -0.57
    [/
    -0.56
    Redditor
    -0.54
    lining
    -0.54
    reflect
    -0.54
    panic
    -0.53
    onement
    -0.52
    POSITIVE LOGITS
    )--
    1.28
    )—
    1.27
    )'
    1.27
    )
    1.26
    )"
    1.18
    )(
    1.17
    ),"
    1.16
    )]
    1.14
    ),
    1.11
    )/
    1.09
    Activations Density 0.125%

    No Known Activations