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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. 11373
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    Explanations

    issues and problems mentioned in a text

    oai_token-act-pair · gpt-3.5-turbo

    the word "issues" in various contexts related to problems or challenges

    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
    urses
    -0.86
    asty
    -0.86
    glas
    -0.85
    alty
    -0.80
    ellow
    -0.80
    lect
    -0.79
    bered
    -0.78
    ovy
    -0.76
    umber
    -0.76
    cki
    -0.74
    POSITIVE LOGITS
     plag
    1.00
     relating
    0.92
     affecting
    0.92
     pertaining
    0.90
     stemming
    0.88
    hooting
    0.86
     arising
    0.85
    etter
    0.80
     impacting
    0.79
     confronting
    0.78
    Activations Density 0.035%

    No Known Activations