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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. 18076
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    Explanations

    words related to meaningfulness or importance

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "meaningful" in various contexts

    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
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    Negative Logits
    reditary
    -0.74
    artney
    -0.69
     rampant
    -0.67
     blindly
    -0.66
    bush
    -0.64
    inate
    -0.63
     busted
    -0.63
    Pure
    -0.61
    opathy
    -0.61
    opath
    -0.60
    POSITIVE LOGITS
     conversation
    0.94
     engagement
    0.92
    ible
    0.90
     conversations
    0.84
     dialogue
    0.83
     discussion
    0.81
    IAL
    0.81
    ional
    0.80
     discussions
    0.79
    itar
    0.76
    Activations Density 0.062%

    No Known Activations