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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. 16695
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    Explanations

    phrases related to immediacy or quick actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the concept of immediacy or promptness

    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
    oret
    -0.67
    ories
    -0.63
    pel
    -0.62
    ribe
    -0.58
     Overs
    -0.58
    bey
    -0.58
    pers
    -0.57
    ribut
    -0.57
    oplan
    -0.56
    pet
    -0.55
    POSITIVE LOGITS
    aneously
    0.81
     as
    0.76
     thereafter
    0.75
    idious
    0.74
    icia
    0.71
    orthy
    0.69
    itude
    0.69
    ened
    0.64
    arde
    0.63
    iannopoulos
    0.62
    Activations Density 0.009%

    No Known Activations