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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. 10-RES-JB
    11. 5516
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    Explanations

    descriptions of physical proximity and movement towards a specific location or decision

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating proximity or closeness in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    actly
    -0.73
     anytime
    -0.66
    =#
    -0.65
    only
    -0.65
    ij士
    -0.64
     aptly
    -0.63
    kson
    -0.62
    liest
    -0.61
    «ĺ
    -0.59
     unprecedented
    -0.59
    POSITIVE LOGITS
     becomes
    0.70
    than
    0.65
    Increases
    0.62
     grows
    0.61
     tended
    0.60
     than
    0.58
     absorbs
    0.58
     perceived
    0.58
     deterior
    0.58
     perceive
    0.56
    Activations Density 0.071%

    No Known Activations