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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. 450
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    INDEX
    Explanations

    phrases indicating personal preferences

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal preferences or things that the speaker enjoys

    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
     enthusi
    -0.85
    arta
    -0.78
    ureau
    -0.74
    rez
    -0.72
    ilion
    -0.70
    cci
    -0.68
    LM
    -0.68
    eworks
    -0.67
    esi
    -0.67
    Americ
    -0.67
    POSITIVE LOGITS
    lihood
    1.36
    ably
    0.97
    lier
    0.86
    liest
    0.85
     seeing
    0.76
    liness
    0.73
    76561
    0.71
    joy
    0.70
    Fine
    0.69
     watching
    0.68
    Activations Density 0.047%

    No Known Activations