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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. 0-RES-JB
    11. 19263
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    INDEX
    Explanations

    words related to physical injuries or medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of arranged or organized events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     slopes
    -0.71
     goose
    -0.69
     KO
    -0.66
     melting
    -0.65
     Tek
    -0.65
     foundation
    -0.64
     silicone
    -0.63
     lifts
    -0.62
     hockey
    -0.61
     glide
    -0.61
    POSITIVE LOGITS
    arr
    4.50
    ARR
    1.72
     arr
    1.59
    arc
    1.56
    arre
    1.54
    arry
    1.44
    arg
    1.19
    arrow
    1.18
    arp
    1.18
    alg
    1.17
    Activations Density 0.012%

    No Known Activations