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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
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    Explanations

    boolean values

    oai_token-act-pair · gpt-3.5-turbo

    boolean values and related programming constructs

    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
    lectic
    -0.90
    apers
    -0.83
    oppers
    -0.81
    ophon
    -0.76
    regor
    -0.76
    omorph
    -0.75
    laus
    -0.75
    agna
    -0.73
    hens
    -0.73
    esta
    -0.72
    POSITIVE LOGITS
     unfocusedRange
    0.88
    False
    0.74
    ptr
    0.73
    0000
    0.72
     (-
    0.71
     guiActive
    0.71
     sidx
    0.70
    null
    0.70
    NULL
    0.70
     }
    0.68
    Activations Density 0.049%

    No Known Activations