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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. 1-RES-JB
    11. 4865
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    Explanations

    the word "am" preceded by different words

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific word or its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     edges
    -0.71
     corners
    -0.71
     occupants
    -0.70
     tremend
    -0.67
     dimensions
    -0.67
     resemb
    -0.66
     stakes
    -0.66
     Sketch
    -0.65
     masks
    -0.63
     Dimensions
    -0.63
    POSITIVE LOGITS
    nesty
    1.24
    endment
    1.19
    sterdam
    1.17
    am
    1.15
    essage
    1.11
    ilies
    1.08
    bitious
    1.06
    ihara
    1.04
    borgh
    1.02
    urai
    1.02
    Activations Density 0.020%

    No Known Activations