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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. 7-RES-JB
    11. 22724
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    Explanations

    the letter "H" followed by various names, titles, and locations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter "H" in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -0.77
     Beware
    -0.74
    enhagen
    -0.69
    lihood
    -0.67
    EStream
    -0.66
     CPR
    -0.65
     Chocobo
    -0.65
     Canaver
    -0.61
     Parenthood
    -0.61
     Izan
    -0.61
    POSITIVE LOGITS
    umble
    1.18
    anging
    1.17
    ospital
    1.13
    IGH
    1.11
    acking
    1.10
    ISTORY
    1.09
    ttp
    1.08
    awk
    1.08
    annah
    1.08
    ottest
    1.07
    Activations Density 0.043%

    No Known Activations