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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. 7-RES-JB
    11. 1599
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    Explanations

    timestamps and publication information

    oai_token-act-pair · gpt-3.5-turbo

    numerical timestamps and publication dates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    anza
    -0.71
    orsi
    -0.69
    kees
    -0.67
    comings
    -0.63
     crest
    -0.59
    osponsors
    -0.59
    owship
    -0.59
     grandchildren
    -0.59
    phia
    -0.58
    ModLoader
    -0.57
    POSITIVE LOGITS
     Updated
    0.74
     08
    0.72
    Inf
    0.67
    Vote
    0.66
    çīĪ
    0.65
    Edited
    0.64
    姫
    0.64
    EStreamFrame
    0.63
    alian
    0.61
     guiActiveUn
    0.60
    Activations Density 0.075%

    No Known Activations