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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. 6-RES-JB
    6. 12325
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    INDEX
    Explanations

    positive affirmations and encouragements

    oai_token-act-pair · gpt-3.5-turbo

    sentences that express positive emotions or encouragement

    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
    ]).
    -0.82
    )).
    -0.78
    ''.
    -0.69
    "))
    -0.67
    ".[
    -0.67
    ".
    -0.63
    )].
    -0.62
    .''.
    -0.62
    "}
    -0.60
    etheless
    -0.60
    POSITIVE LOGITS
     however
    0.82
     though
    0.58
     ital
    0.58
     VG
    0.47
    oret
    0.44
     printed
    0.44
     meanwhile
    0.44
    ierre
    0.44
     consisted
    0.44
    DAQ
    0.43
    Activations Density 2.795%

    No Known Activations