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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. 4-RES-JB
    11. 6764
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    Explanations

    mentions of various issues or challenges

    oai_token-act-pair · gpt-3.5-turbo

    references to issues or difficulties

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

    No Comments

    Negative Logits
    tein
    -0.83
    alty
    -0.79
    rib
    -0.77
    rica
    -0.75
    orks
    -0.73
    bern
    -0.70
    theless
    -0.70
    ron
    -0.70
    VO
    -0.70
    eston
    -0.69
    POSITIVE LOGITS
     plag
    1.16
    hooting
    1.05
     problems
    0.89
     stemming
    0.88
    hift
    0.83
     affecting
    0.79
     confronting
    0.79
     facing
    0.76
     catast
    0.76
     arising
    0.75
    Activations Density 0.038%

    No Known Activations