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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. 9-RES-JB
    11. 13201
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    Explanations

    phrases related to decision-making and delegating tasks or responsibilities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating direction or purpose

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yd
    -0.90
    OTAL
    -0.79
    sbm
    -0.77
    AU
    -0.74
    cz
    -0.68
    RIP
    -0.67
    reb
    -0.67
    spir
    -0.67
    LR
    -0.66
    velt
    -0.66
    POSITIVE LOGITS
     theirs
    0.86
     its
    0.83
     something
    0.74
     hers
    0.73
     another
    0.70
     Himself
    0.68
     simpler
    0.67
     oneself
    0.66
     safer
    0.64
     an
    0.63
    Activations Density 0.393%

    No Known Activations