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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. 17414
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    Explanations

    words related to product recalls

    oai_token-act-pair · gpt-3.5-turbo

    the word "recall" and its variations

    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
    osphere
    -0.85
    doms
    -0.75
    \\\\\\\\\\\\\\\\
    -0.73
    bern
    -0.69
    ete
    -0.68
    oos
    -0.67
    hered
    -0.67
    selage
    -0.66
    iak
    -0.66
    htar
    -0.66
    POSITIVE LOGITS
     Recall
    1.13
     recall
    1.07
     recalling
    0.90
    ufact
    0.87
    remember
    0.87
     recollection
    0.77
    ĸļ
    0.76
     vividly
    0.74
    Quantity
    0.72
     recalls
    0.71
    Activations Density 0.008%

    No Known Activations