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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. 6240
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    Explanations

    verbs related to actions or potential actions

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs indicating potential or necessity

    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
     Vers
    -0.66
     zo
    -0.62
     Techn
    -0.59
     Rove
    -0.58
     theory
    -0.57
     downt
    -0.56
     correction
    -0.56
     Benn
    -0.56
     explanations
    -0.55
     Mond
    -0.54
    POSITIVE LOGITS
    Ĥİ
    0.82
    çĶ°
    0.79
    ername
    0.78
    igo
    0.76
    Ń·
    0.75
    kef
    0.72
    chers
    0.72
     theirs
    0.71
    tes
    0.70
    rir
    0.68
    Activations Density 1.219%

    No Known Activations