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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. 4869
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    INDEX
    Explanations

    references to external sources, such as articles and reports

    oai_token-act-pair · gpt-3.5-turbo

    references to reviews or summaries of articles

    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
    ipal
    -0.71
    iour
    -0.69
    upe
    -0.66
     mechanically
    -0.66
    ileged
    -0.65
    pron
    -0.65
    Reward
    -0.64
     intending
    -0.63
     attraction
    -0.63
    engeance
    -0.62
    POSITIVE LOGITS
     Politico
    1.17
     NYT
    1.15
     excerpts
    1.12
     Slate
    1.08
     headlined
    1.04
     Brief
    0.99
     Salon
    0.99
    pdf
    0.97
     below
    0.95
     Forbes
    0.95
    Activations Density 0.983%

    No Known Activations