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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. 11-RES-JB
    11. 1040
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    INDEX
    Explanations

    instances of words indicating level or degree, such as 'is', 'extent', and 'really'

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the nature of a film, especially focusing on its quality or thematic elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Applicant
    -0.80
    ulia
    -0.79
    cellaneous
    -0.77
    arms
    -0.77
     Cosponsors
    -0.76
    onds
    -0.75
    odan
    -0.75
    ebus
    -0.72
    ishers
    -0.72
    ð
    -0.71
    POSITIVE LOGITS
     autobi
    1.44
     satire
    1.28
     narrated
    1.20
     marketed
    1.15
     satirical
    1.15
     derivative
    1.11
     filmed
    1.10
     satir
    1.09
     fictional
    1.05
     adapted
    1.05
    Activations Density 0.261%

    No Known Activations