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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. 14531
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    Explanations

    words related to expectations or plans

    oai_token-act-pair · gpt-3.5-turbo

    phrases or terms indicating expectations or predictions regarding events or actions

    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
    anium
    -0.77
    backer
    -0.72
     Disease
    -0.68
    tex
    -0.68
    lock
    -0.67
    reen
    -0.65
    agra
    -0.63
    oard
    -0.62
    locks
    -0.62
    hide
    -0.62
    POSITIVE LOGITS
    ĭ
    0.75
    icipated
    0.69
    DragonMagazine
    0.68
     newsp
    0.68
     oun
    0.66
    eln
    0.64
    heny
    0.64
     plur
    0.64
    LY
    0.64
    ij士
    0.64
    Activations Density 0.027%

    No Known Activations