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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
    11. 8255
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    Explanations

    architectural and foundational terms or concepts

    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
    oping
    -0.87
    imar
    -0.76
    ities
    -0.76
    ivan
    -0.75
    apist
    -0.74
    atures
    -0.74
    nery
    -0.73
    rene
    -0.70
    pine
    -0.70
    thur
    -0.70
    POSITIVE LOGITS
     backbone
    0.83
     enshr
    0.82
     bedrock
    0.80
    xual
    0.79
     cornerstone
    0.76
    stones
    0.72
     underpin
    0.72
    CRIP
    0.68
     hinge
    0.66
     proving
    0.65
    Activations Density 0.021%

    No Known Activations