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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. 9-RES-JB
    11. 23594
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    INDEX
    Explanations

    words related to crime and news events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to addiction and recovery

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Newsletter
    -0.87
     Organizations
    -0.87
    ĪĴ
    -0.85
    Footnote
    -0.85
    —"
    -0.85
     organizational
    -0.84
    /.
    -0.84
     [&
    -0.80
    .–
    -0.79
    Transaction
    -0.79
    POSITIVE LOGITS
     pictured
    1.43
     Nasa
    1.15
     Pict
    1.14
     colourful
    1.12
     £
    1.12
     ITV
    1.09
     favourite
    1.07
     whilst
    1.06
     realised
    1.06
     learnt
    1.06
    Activations Density 1.149%

    No Known Activations