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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. 6-RES-JB
    11. 3593
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    Explanations

    phrases indicating a condition or action that must be met before something else can happen

    oai_token-act-pair · gpt-3.5-turbo

    conditional phrases that indicate the timing or prerequisite nature of events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    auga
    -0.78
    alling
    -0.72
    lat
    -0.72
    vec
    -0.70
    piring
    -0.69
    tre
    -0.66
    overty
    -0.66
    ettle
    -0.65
    itch
    -0.65
    ularity
    -0.63
    POSITIVE LOGITS
     authenticated
    0.64
     Imper
    0.61
    ieth
    0.60
     sparing
    0.58
    wcsstore
    0.58
    inally
    0.57
     exceptions
    0.57
     Tanks
    0.57
     fraction
    0.57
     hindsight
    0.56
    Activations Density 0.134%

    No Known Activations