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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. 1-RES-JB
    6. 19747
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    INDEX
    Explanations

    mentions of journalists or correspondents

    oai_token-act-pair · gpt-3.5-turbo

    mentions of correspondents in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    perm
    -0.72
    Ice
    -0.70
    Da
    -0.70
    formation
    -0.69
    Struct
    -0.66
    bra
    -0.65
    argon
    -0.65
    err
    -0.64
    ouses
    -0.63
    eat
    -0.63
    POSITIVE LOGITS
     correspondent
    1.49
     journalist
    0.96
     reporter
    0.90
     Correspond
    0.88
    ially
    0.84
     laureate
    0.83
     camer
    0.80
     writer
    0.80
     photographer
    0.77
     Fellow
    0.77
    Activations Density 0.006%

    No Known Activations