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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. 8220
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    Explanations

    the word "correspondent" at various positions in the text

    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
    usp
    -0.73
    err
    -0.70
    Da
    -0.67
    odium
    -0.67
    perm
    -0.65
    formation
    -0.64
    saving
    -0.63
    bra
    -0.63
    uman
    -0.63
    SpaceEngineers
    -0.63
    POSITIVE LOGITS
     correspondent
    1.26
    ially
    0.89
     journalist
    0.81
     Correspond
    0.80
     laureate
    0.80
     writer
    0.75
     editor
    0.74
     camer
    0.74
     traveller
    0.73
     envoy
    0.71
    Activations Density 0.004%

    No Known Activations