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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    the word "hop" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to "hops" or "hopping" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     payable
    -0.79
    Downloadha
    -0.76
    $$$$
    -0.70
     confir
    -0.69
    ISE
    -0.66
    ateral
    -0.66
    nsic
    -0.65
    IZE
    -0.65
    ISION
    -0.64
     circumst
    -0.63
    POSITIVE LOGITS
     hop
    1.23
    Hop
    1.22
    eful
    1.03
     Hop
    0.98
    efully
    0.91
    hop
    0.89
    along
    0.84
     hops
    0.80
    fen
    0.79
    sticks
    0.79
    Activations Density 0.008%

    No Known Activations