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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. 13328
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    Explanations

    words containing the string "tit"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "title" in various contexts

    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
    Downloadha
    -0.82
    agher
    -0.70
     Curve
    -0.67
    ijk
    -0.63
    Cause
    -0.62
    £ı
    -0.61
    TPPStreamerBot
    -0.61
     Kod
    -0.59
    KNOWN
    -0.58
    Ø©
    -0.58
    POSITIVE LOGITS
    ular
    1.43
    anic
    1.18
    hered
    1.08
    illation
    1.02
    bits
    1.00
    tle
    0.98
    leness
    0.92
    ulas
    0.92
    eless
    0.90
    ration
    0.90
    Activations Density 0.056%

    No Known Activations