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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. 2-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raviolet
    -0.85
    urity
    -0.80
    XT
    -0.77
    erity
    -0.73
    hess
    -0.71
    Fab
    -0.69
     Ud
    -0.68
     detector
    -0.68
    feature
    -0.65
     dress
    -0.65
    POSITIVE LOGITS
    oling
    0.89
    oled
    0.86
    oaded
    0.86
    esi
    0.79
    izabeth
    0.78
    oad
    0.72
    ingo
    0.71
    icularly
    0.71
    ctions
    0.70
     pleas
    0.68
    Activations Density 0.017%

    No Known Activations