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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. 9-RES-JB
    11. 16532
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    Explanations

    words related to software, technology, and actions in a technical context

    oai_token-act-pair · gpt-3.5-turbo

    forms of the verb "to be" indicating existence or attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Difference
    -0.66
    uctor
    -0.60
    eanor
    -0.59
    eteen
    -0.58
     Roosevelt
    -0.57
     Capture
    -0.56
     Evil
    -0.55
     Sunshine
    -0.55
    ance
    -0.54
    uction
    -0.54
    POSITIVE LOGITS
     therefore
    1.64
     consequently
    1.57
     thus
    1.29
     accordingly
    1.25
     thereby
    1.15
     furthermore
    1.06
     hence
    1.04
     moreover
    1.01
     subsequently
    0.99
     consequ
    0.96
    Activations Density 0.236%

    No Known Activations