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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. 13999
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    Explanations

    phrases related to evaluation and judgment

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express opinions or subjective evaluations

    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
    ancock
    -0.74
    alks
    -0.69
    chuk
    -0.67
     Hear
    -0.67
    olls
    -0.61
    rete
    -0.60
    ummies
    -0.60
    estern
    -0.60
    orld
    -0.60
    bett
    -0.59
    POSITIVE LOGITS
     incidentally
    0.89
     admittedly
    0.80
     ironically
    0.78
     hopefully
    0.77
    SPONSORED
    0.77
     presumably
    0.76
    wcsstore
    0.74
     odd
    0.73
     ironic
    0.72
     why
    0.72
    Activations Density 0.254%

    No Known Activations