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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. 8-RES-JB
    11. 18500
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    Explanations

    phrases indicating the beginning or initiation of events or actions

    oai_token-act-pair · gpt-3.5-turbo

    the word "what" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fixation
    -0.69
     fix
    -0.63
     fixing
    -0.61
     abiding
    -0.60
     inserting
    -0.59
     supporting
    -0.59
     concentrating
    -0.58
     running
    -0.57
     hearing
    -0.57
     receiving
    -0.57
    POSITIVE LOGITS
    soever
    1.08
     happens
    1.06
     happened
    1.04
     transpired
    1.03
     amounted
    1.02
     constitutes
    0.96
    wikipedia
    0.84
    Downloadha
    0.83
     appears
    0.82
     resembles
    0.82
    Activations Density 0.080%

    No Known Activations