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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
    11. 3329
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    INDEX
    Explanations

    references to the term "ft" often associated with measurements or performance statistics

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the term "ft" with varying degrees of significance

    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
    ãģ®éŃĶ
    -0.75
     Siber
    -0.71
     sidx
    -0.71
    bucks
    -0.70
    PsyNetMessage
    -0.69
    IZE
    -0.67
    utical
    -0.67
     Skydragon
    -0.66
    actionDate
    -0.65
     TAMADRA
    -0.65
    POSITIVE LOGITS
    entimes
    1.00
     Punk
    0.85
    airs
    0.81
    ress
    0.79
    achment
    0.75
    ools
    0.75
    ft
    0.74
    rench
    0.74
    iger
    0.74
    wd
    0.73
    Activations Density 0.007%

    No Known Activations