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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. 2545
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    Explanations

    phrases related to a shift in personal or group circumstances

    oai_token-act-pair · gpt-3.5-turbo
    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
    rium
    -0.73
    hide
    -0.68
    aic
    -0.67
     misconception
    -0.67
    hee
    -0.66
    alez
    -0.65
    omy
    -0.60
    Hide
    -0.60
     confidentiality
    -0.59
     illusion
    -0.59
    POSITIVE LOGITS
     wondering
    1.09
     needing
    1.09
     embroiled
    1.06
     surrounded
    0.92
     wanting
    0.92
     footing
    0.90
     unable
    0.89
     staring
    0.88
     besieged
    0.87
     wishing
    0.87
    Activations Density 0.035%

    No Known Activations