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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. 9195
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    Explanations

    words related to intense competition or conflict

    oai_token-act-pair · gpt-3.5-turbo

    intense or strong emotions and actions

    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
    ulhu
    -0.89
    uration
    -0.80
    annis
    -0.74
    abad
    -0.74
    pty
    -0.74
     Peb
    -0.70
    utra
    -0.70
    roma
    -0.68
    ajor
    -0.68
    iture
    -0.66
    POSITIVE LOGITS
     fierce
    0.91
    ãĥ£
    0.89
    ly
    0.87
     battle
    0.83
     earthqu
    0.83
     battles
    0.83
     ferocious
    0.81
     fiercely
    0.81
     streak
    0.80
     competitor
    0.78
    Activations Density 0.029%

    No Known Activations