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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 3096
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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
    itures
    -0.84
    ovo
    -0.75
    ipeg
    -0.71
    umers
    -0.71
    iture
    -0.71
    umer
    -0.69
    wcs
    -0.69
    umerable
    -0.65
    ervative
    -0.64
    igr
    -0.62
    POSITIVE LOGITS
    cock
    0.94
    gie
    0.90
    psy
    0.84
    rics
    0.82
    bowl
    0.81
    glers
    0.79
    ij士
    0.79
    wig
    0.77
    puff
    0.76
    gins
    0.76
    Activations Density 0.023%

    No Known Activations