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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. 8800
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    Explanations

    verbs related to a rapid downward motion

    oai_token-act-pair · gpt-3.5-turbo

    words related to chaotic or falling movements

    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
    nor
    -0.81
    fam
    -0.77
    afort
    -0.74
    nesota
    -0.70
    href
    -0.69
    vae
    -0.68
    nect
    -0.67
    igs
    -0.66
    atural
    -0.66
    eln
    -0.66
    POSITIVE LOGITS
    umbled
    0.83
    umbles
    0.82
    é¾
    0.77
    weed
    0.76
     Jagu
    0.76
     Mulcair
    0.75
     unlaw
    0.74
    Berry
    0.73
     inco
    0.73
    SHA
    0.71
    Activations Density 0.008%

    No Known Activations