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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

    phrases related to exerting or feeling pressure or opposition

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "pressure from" followed by various groups or entities

    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
    puter
    -0.75
    isec
    -0.74
    perture
    -0.74
    aqu
    -0.71
    ritional
    -0.69
    film
    -0.69
    redits
    -0.68
    merce
    -0.67
    hene
    -0.67
    quote
    -0.66
    POSITIVE LOGITS
     afar
    1.39
     abroad
    1.00
     whence
    0.89
     elsewhere
    0.85
     inside
    0.82
     thence
    0.80
     anywhere
    0.76
     within
    0.75
     everywhere
    0.72
     across
    0.71
    Activations Density 0.174%

    No Known Activations