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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. 11-RES-JB
    11. 4999
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    Explanations

    words related to the concept of "de-escalation" or "de-centralization"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the prefix "de-" related to various forms of reduction or negation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     LW
    -0.73
     Hai
    -0.69
     regards
    -0.69
     outstanding
    -0.67
     Day
    -0.66
     Blacks
    -0.66
     Ys
    -0.66
     LV
    -0.62
     next
    -0.61
     Hazel
    -0.61
    POSITIVE LOGITS
    escal
    1.38
    fact
    1.34
    emphasis
    1.27
    radical
    1.25
    identified
    1.13
    Naz
    1.12
    serial
    1.10
    commit
    1.09
    central
    1.08
    funding
    1.08
    Activations Density 0.019%

    No Known Activations