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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. 0-RES-JB
    11. 13590
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    Explanations

    words related to various types of activities, ranging from physical to criminal activities

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of activity, particularly in a contextual or situational manner

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     screwed
    -0.67
    nice
    -0.65
    coat
    -0.65
    ptroller
    -0.64
    better
    -0.63
    worst
    -0.63
     Reborn
    -0.62
    utch
    -0.62
    ague
    -0.62
    ternally
    -0.62
    POSITIVE LOGITS
     activity
    3.71
     Activity
    2.81
     activities
    2.36
    activity
    2.26
    Activity
    2.05
     Activities
    2.01
     activ
    1.57
     action
    1.39
     behavior
    1.38
     behaviour
    1.37
    Activations Density 0.017%

    No Known Activations