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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. 3-RES-JB
    11. 16741
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    Explanations

    terms related to tearing or cutting something into pieces

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "shred" in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    annis
    -0.74
     Trop
    -0.64
    amide
    -0.64
     Ple
    -0.61
    juven
    -0.60
     Caucas
    -0.59
    emis
    -0.59
     Swords
    -0.58
     Gard
    -0.58
    ague
    -0.57
    POSITIVE LOGITS
    ding
    1.30
     shred
    1.17
    aby
    1.01
    der
    0.99
    itionally
    0.95
    sburg
    0.95
    ulously
    0.89
    itional
    0.88
    ming
    0.86
    ibly
    0.84
    Activations Density 0.014%

    No Known Activations