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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. 22729
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    Explanations

    phrases related to adaptability and sensitivity

    oai_token-act-pair · gpt-3.5-turbo

    relations involving sensitivity and adaptation to various stimuli

    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
    ãģ®éŃĶ
    -0.77
    Registered
    -0.77
    roy
    -0.76
    ittal
    -0.75
    aurus
    -0.73
    åij
    -0.72
    uably
    -0.72
    ridor
    -0.72
    ortium
    -0.71
    adder
    -0.70
    POSITIVE LOGITS
     stimuli
    1.07
     adversity
    0.94
     detecting
    0.92
     changing
    0.89
     stress
    0.86
     adapting
    0.85
     radiation
    0.84
     criticism
    0.83
     shocks
    0.83
     sunlight
    0.82
    Activations Density 0.164%

    No Known Activations