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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. 9-RES-JB
    11. 22755
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    Explanations

    verbs related to intention or planning

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to intentions or what someone planned to do

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    visor
    -0.65
     Solitaire
    -0.64
    acks
    -0.59
    ulated
    -0.58
    Plus
    -0.58
    lc
    -0.58
    ieri
    -0.57
    tex
    -0.56
    anca
    -0.56
    aire
    -0.55
    POSITIVE LOGITS
     Parenthood
    0.81
     beneficiaries
    0.75
    phis
    0.74
     recipients
    0.73
    fully
    0.73
    orate
    0.69
    untarily
    0.67
    teness
    0.66
    İ
    0.65
    chwitz
    0.65
    Activations Density 0.040%

    No Known Activations