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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. 10-RES-JB
    11. 12119
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    Explanations

    references to the beginning of a new period or phase

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ammers
    -0.87
    lees
    -0.78
    ENTS
    -0.75
    bags
    -0.73
    ifles
    -0.72
    acers
    -0.72
    aunts
    -0.72
    aways
    -0.71
    recent
    -0.70
    misc
    -0.69
    POSITIVE LOGITS
    bie
    1.13
     generation
    1.11
     era
    1.08
     paradigm
    1.05
     batch
    1.01
     dimension
    1.00
     incarnation
    0.99
     wave
    0.99
     iteration
    0.98
     breed
    0.95
    Activations Density 0.078%

    No Known Activations