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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. 13660
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    Explanations

    phrases indicating approval or praise

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a positive assessment or state of being

    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
    hyde
    -0.91
    rush
    -0.75
    atto
    -0.72
    ategory
    -0.71
    hip
    -0.71
    ataka
    -0.68
     furiously
    -0.66
    illary
    -0.64
    iferation
    -0.63
    ngth
    -0.63
    POSITIVE LOGITS
    enough
    1.10
     suited
    1.00
     enough
    0.98
     behaved
    0.92
    spring
    0.91
    baum
    0.80
    wired
    0.76
     Enough
    0.76
     positioned
    0.76
    Known
    0.76
    Activations Density 0.041%

    No Known Activations