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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. 7-RES-JB
    11. 3099
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ahime
    -0.67
    creation
    -0.65
     corpus
    -0.63
    ertodd
    -0.63
     pled
    -0.62
    WHERE
    -0.59
    bilt
    -0.59
    respective
    -0.59
     horm
    -0.57
     âĶľ
    -0.57
    POSITIVE LOGITS
     unexpectedly
    0.91
     theirs
    0.81
     abruptly
    0.76
     inexpl
    0.69
     hers
    0.69
     mysteriously
    0.68
     prematurely
    0.68
    uberty
    0.61
     puberty
    0.61
    iphany
    0.61
    Activations Density 0.381%

    No Known Activations