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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. 3-RES-JB
    11. 11248
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    Explanations

    terms related to quick physical reactions or responses

    oai_token-act-pair · gpt-3.5-turbo

    terms related to reflexes and quick reactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    holder
    -0.74
    ################
    -0.74
    ########
    -0.71
    akin
    -0.66
     Anon
    -0.66
     Lank
    -0.64
    HI
    -0.64
    ATTLE
    -0.63
    rooms
    -0.62
     Shining
    -0.61
    POSITIVE LOGITS
     reflex
    1.34
    ively
    1.25
    entimes
    1.06
    ive
    0.95
    ivity
    0.93
    ibly
    0.88
     Reflex
    0.86
    ologically
    0.85
    es
    0.84
     guiActiveUn
    0.83
    Activations Density 0.009%

    No Known Activations