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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. 1-RES-JB
    11. 21366
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    Explanations

    dates preceded by the word "On"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "On" followed by a date or time reference

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MODE
    -0.94
    Ùİ
    -0.74
    BIP
    -0.73
    æĥ
    -0.72
    QB
    -0.72
    ãĤ¼ãĤ¦ãĤ¹
    -0.70
    اØ
    -0.68
    TEXTURE
    -0.67
    YP
    -0.67
    USB
    -0.67
    POSITIVE LOGITS
    slaught
    1.36
    coming
    1.32
     behalf
    1.13
    assis
    1.01
    etheless
    0.98
    yx
    0.97
    eday
    0.94
    ibaba
    0.89
    shore
    0.89
    eness
    0.87
    Activations Density 0.092%

    No Known Activations