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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. 3-RES-JB
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    Explanations

    short phrases describing taking action or making decisions

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "taking a"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ndra
    -0.78
     displays
    -0.71
    IOR
    -0.68
    eele
    -0.66
     coasts
    -0.66
    Ü
    -0.65
    planes
    -0.64
    osity
    -0.62
    tions
    -0.60
     Fram
    -0.59
    POSITIVE LOGITS
     seriously
    0.93
     plunge
    0.74
     stride
    0.72
     reins
    0.72
     lightly
    0.72
    é»Ĵ
    0.67
     cue
    0.67
    ãĥīãĥ©
    0.67
     Seriously
    0.66
    romy
    0.64
    Activations Density 0.311%

    No Known Activations