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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. 6922
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    Explanations

    instances where the cause of a situation is being questioned or explained

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "because" 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
    Not in Any Lists

    No Comments

    Negative Logits
    ilet
    -0.76
    jc
    -0.74
    EMS
    -0.69
    robe
    -0.68
    byter
    -0.68
    yan
    -0.66
    lean
    -0.65
    ices
    -0.64
    estones
    -0.63
    igible
    -0.63
    POSITIVE LOGITS
     they
    0.95
     there
    0.86
     of
    0.85
     we
    0.84
     THEY
    0.79
     it
    0.74
     people
    0.74
     someone
    0.72
    fy
    0.71
     humans
    0.71
    Activations Density 0.083%

    No Known Activations