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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. 23142
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    Explanations

    phrases related to emotional breakdown or deterioration

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to emotional breakdown or distress

    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
    forward
    -0.69
     rise
    -0.61
    eton
    -0.61
     advance
    -0.61
     qualified
    -0.60
     graz
    -0.60
    antry
    -0.59
    lean
    -0.59
     HI
    -0.58
    idates
    -0.56
    POSITIVE LOGITS
    sonian
    0.79
     barriers
    0.79
    ²¾
    0.77
    taining
    0.75
    ydia
    0.69
    oresc
    0.68
    escent
    0.68
    rums
    0.67
    quished
    0.66
     walls
    0.66
    Activations Density 0.088%

    No Known Activations