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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. 2287
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    Explanations

    verbs related to actions or changes that have significant impact or consequences

    oai_token-act-pair · gpt-3.5-turbo

    actions related to decision-making and changes

    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
    umm
    -0.63
    ersen
    -0.62
    QB
    -0.62
    see
    -0.61
    ère
    -0.60
    geries
    -0.59
    vu
    -0.57
    TRY
    -0.56
    oulder
    -0.56
    shire
    -0.56
    POSITIVE LOGITS
    ©¶æ
    0.79
     oneself
    0.76
    redients
    0.67
    inventoryQuantity
    0.66
    ãĥ¼ãĥĨ
    0.66
     Pengu
    0.66
    ealous
    0.66
     FANTASY
    0.64
     electron
    0.63
    irlf
    0.62
    Activations Density 0.326%

    No Known Activations