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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. 3-RES-JB
    11. 12133
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    Explanations

    instances where something is being specifically targeted or focused on

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "targeted"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fo
    -0.76
    Else
    -0.69
    thus
    -0.68
    aut
    -0.67
    Struct
    -0.66
    puted
    -0.65
    FIN
    -0.65
    Import
    -0.64
    batch
    -0.63
    SourceFile
    -0.63
    POSITIVE LOGITS
     targets
    0.96
     targeted
    0.93
     targeting
    0.91
    oided
    0.84
     target
    0.79
     squarely
    0.78
     killings
    0.73
     prey
    0.73
    ovie
    0.73
     advertising
    0.72
    Activations Density 0.014%

    No Known Activations