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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. 10-RES-JB
    11. 6381
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    Explanations

    phrases related to specific technical features or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    technical terms and jargon related to various fields

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aeper
    -0.79
     practition
    -0.76
    aditional
    -0.75
     carbohyd
    -0.73
    amera
    -0.69
     referen
    -0.68
     compr
    -0.66
     antidepress
    -0.65
    -+-+-+-+
    -0.65
     subur
    -0.64
    POSITIVE LOGITS
    paces
    1.40
    pace
    1.13
    hips
    1.10
    cale
    1.07
    ystem
    1.04
    mith
    1.03
    etting
    1.01
    hops
    0.98
    hip
    0.98
    cape
    0.97
    Activations Density 0.485%

    No Known Activations