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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. 10-RES-JB
    11. 24033
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    Explanations

    distances or measurements expressed in numerical terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to measurement of distance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulate
    -0.78
    essee
    -0.77
    stal
    -0.76
    ulators
    -0.74
    bara
    -0.71
    SpaceEngineers
    -0.71
    oyal
    -0.70
    itative
    -0.70
    oxide
    -0.70
    umption
    -0.70
    POSITIVE LOGITS
     travelled
    1.26
     traveled
    1.17
     distances
    1.03
     between
    0.97
     apart
    0.93
     separating
    0.86
     distance
    0.83
     travelling
    0.81
     away
    0.81
     Between
    0.81
    Activations Density 0.024%

    No Known Activations