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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 23935
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    Explanations

    specific noun phrases related to actions or situations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "the."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     horizont
    -0.66
    anwhile
    -0.63
     surrounds
    -0.58
    ":["
    -0.57
    ãĤ´ãĥ³
    -0.56
     Signed
    -0.56
    rants
    -0.54
    rought
    -0.54
     throats
    -0.54
     Gret
    -0.54
    POSITIVE LOGITS
     impression
    0.82
     leap
    0.75
    sense
    0.72
     distinction
    0.71
     mistake
    0.66
     distinctions
    0.66
     determin
    0.65
     debut
    0.64
     difference
    0.63
    yssey
    0.63
    Activations Density 0.119%

    No Known Activations