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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 1067
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    INDEX
    Explanations

    adjectives and verbs related to negative or critical opinions

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and participles that express quality or condition

    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
    umbn
    -0.74
    othal
    -0.73
    ailable
    -0.72
    anni
    -0.72
    pei
    -0.72
    othy
    -0.70
    ______
    -0.68
    athan
    -0.67
    obook
    -0.66
    ajor
    -0.65
    POSITIVE LOGITS
     observers
    0.90
     enough
    0.90
     considerations
    0.87
     examples
    0.85
     explanations
    0.85
     assumptions
    0.84
     feats
    0.83
     warnings
    0.83
     gestures
    0.82
     quantities
    0.82
    Activations Density 0.381%

    No Known Activations