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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. 10-RES-JB
    11. 16516
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    bracketed references or citations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     interf
    -0.67
     comprom
    -0.61
     receivers
    -0.61
     clash
    -0.61
     sergeant
    -0.61
     fitt
    -0.60
     Orn
    -0.60
     compliment
    -0.60
     regression
    -0.60
     receiver
    -0.60
    POSITIVE LOGITS
    Pg
    1.42
    âĢ¦]
    1.37
    ...]
    1.25
    sic
    1.22
    ?]
    1.22
    .]
    1.14
    :]
    1.14
    note
    1.08
     ].
    1.06
    PDF
    1.04
    Activations Density 0.030%

    No Known Activations