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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. 2-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WAYS
    -0.70
    CTV
    -0.66
     LIMITED
    -0.64
    Temperature
    -0.61
     AIR
    -0.61
     pulp
    -0.60
     Dak
    -0.59
    ITE
    -0.59
     Flight
    -0.59
    xious
    -0.59
    POSITIVE LOGITS
     reforms
    0.94
    unda
    0.83
     reform
    0.82
     decriminal
    0.80
    undown
    0.80
    parency
    0.79
    atile
    0.77
     emanc
    0.76
    pection
    0.74
    ĸļ
    0.74
    Activations Density 0.013%

    No Known Activations