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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. 4988
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    Explanations

    words related to the importance or significance of a specific role or influence

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of influence or significance in various contexts

    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
    arus
    -0.64
     Mush
    -0.63
    ©¶æ
    -0.61
    prus
    -0.61
    speak
    -0.60
     Purg
    -0.59
     Traps
    -0.58
     roomm
    -0.58
    aru
    -0.58
    atri
    -0.57
    POSITIVE LOGITS
     helping
    0.96
     influencing
    0.89
     determining
    0.86
     facilitating
    0.85
     assisting
    0.83
     supporting
    0.82
     towards
    0.82
     whatsoever
    0.81
     shaping
    0.79
     role
    0.79
    Activations Density 0.091%

    No Known Activations