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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. 17993
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    Explanations

    Boolean values, primarily 'True' and 'False', within programming contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to programming logic and boolean values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    hens
    -0.75
     resemblance
    -0.68
    shaw
    -0.68
     resemb
    -0.66
    apers
    -0.65
    agna
    -0.64
    ythm
    -0.62
    fare
    -0.61
    mast
    -0.61
    egal
    -0.60
    POSITIVE LOGITS
    ptr
    0.93
     guiActive
    0.85
    xff
    0.84
     unfocusedRange
    0.77
     }
    0.76
    olean
    0.76
    ALSE
    0.75
    0000
    0.73
    null
    0.73
     &&
    0.73
    Activations Density 0.058%

    No Known Activations