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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. 7-RES-JB
    11. 3810
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    Explanations

    phrases related to sources of information or motivation

    oai_token-act-pair · gpt-3.5-turbo

    phrases and constructions related to the concept of "out of."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illac
    -0.72
    incial
    -0.71
    iture
    -0.71
     CLR
    -0.67
    _-
    -0.64
     recip
    -0.64
     Cosponsors
    -0.64
     Pwr
    -0.63
    racuse
    -0.63
    reddits
    -0.62
    POSITIVE LOGITS
     nowhere
    0.94
     wed
    0.79
     bounds
    0.75
     necessity
    0.66
     boredom
    0.63
     sheer
    0.62
     frustration
    0.61
    ources
    0.61
     course
    0.61
    Course
    0.60
    Activations Density 0.072%

    No Known Activations