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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. 6-RES-JB
    11. 239
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    INDEX
    Explanations

    phrases or sentences describing actions aimed or directed toward a specific target

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or entities being targeted

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Struct
    -0.71
    STRUCT
    -0.70
    cess
    -0.69
    shire
    -0.69
    fo
    -0.69
    Else
    -0.67
    standing
    -0.67
     Gly
    -0.66
    aug
    -0.66
    IGH
    -0.65
    POSITIVE LOGITS
     targeted
    0.87
     targets
    0.86
     targeting
    0.84
     squarely
    0.83
    ted
    0.76
     killings
    0.76
     towards
    0.75
     toward
    0.72
     ads
    0.72
     target
    0.71
    Activations Density 0.028%

    No Known Activations