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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. 15929
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    Explanations

    mentions of the word "acher" at different levels of activation

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to educators and teaching roles

    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
    erest
    -0.86
    pty
    -0.73
    umbn
    -0.72
    ogyn
    -0.67
    emn
    -0.63
    earances
    -0.63
     arresting
    -0.62
     Carbuncle
    -0.62
    razen
    -0.62
    ality
    -0.61
    POSITIVE LOGITS
    jee
    0.96
    acher
    0.84
    ãĤ·ãĥ£
    0.74
    door
    0.73
    berger
    0.73
    bilt
    0.70
     Orn
    0.68
     =================================
    0.68
     actionGroup
    0.66
    otle
    0.65
    Activations Density 0.010%

    No Known Activations