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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. 7-RES-JB
    11. 14618
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    Explanations

    sequences of numbers and symbols in a specific pattern

    oai_token-act-pair · gpt-3.5-turbo

    sequences resembling numeric patterns or identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    netflix
    -1.02
    seys
    -1.00
    CTV
    -0.93
     RSS
    -0.85
    indal
    -0.81
    psons
    -0.81
    bilt
    -0.79
    ombies
    -0.79
    VILLE
    -0.77
    Residents
    -0.76
    POSITIVE LOGITS
     decisive
    0.76
     instinct
    0.74
    xe
    0.73
     tempo
    0.71
     defensively
    0.71
     bounce
    0.69
    xf
    0.68
     finishes
    0.68
     ensuing
    0.67
     opponent
    0.67
    Activations Density 0.050%

    No Known Activations