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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. 6-RES-JB
    11. 15381
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    INDEX
    Explanations

    instances where the word 'Film' is mentioned

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Fil" and its variations, indicating a focus on film-related content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.78
    è¦ļéĨĴ
    -0.77
     Reboot
    -0.72
    schild
    -0.67
     Butterfly
    -0.66
     conclud
    -0.66
     compr
    -0.66
     convict
    -0.64
    ELL
    -0.63
    JV
    -0.63
    POSITIVE LOGITS
    ters
    1.26
    tered
    1.19
    igree
    1.13
    thy
    1.08
    tering
    1.07
    terness
    0.98
    cipled
    0.93
    rets
    0.88
    aments
    0.88
    eno
    0.88
    Activations Density 0.021%

    No Known Activations