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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. 4-RES-JB
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    Explanations

    mentions of the word "Fil" at various activation levels

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "Fil" and its variations, indicating it is focused on identifying references to a specific entity or subject

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

    No Comments

    Negative Logits
    anwhile
    -0.77
    è¦ļéĨĴ
    -0.71
    schild
    -0.70
    JV
    -0.69
    hovah
    -0.66
     Butterfly
    -0.65
     digest
    -0.65
    eanor
    -0.64
    eer
    -0.63
    lain
    -0.61
    POSITIVE LOGITS
    tered
    1.28
    ters
    1.21
    tering
    1.16
    thy
    1.00
    Fil
    0.96
    fil
    0.95
    terness
    0.95
    teness
    0.93
    film
    0.91
    avia
    0.87
    Activations Density 0.012%

    No Known Activations