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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. 6-RES-JB
    11. 9766
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    Explanations

    the word "time."

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "is" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eor
    -0.81
    inav
    -0.72
    iates
    -0.66
    ees
    -0.65
    ixel
    -0.64
    \<
    -0.64
     viz
    -0.63
    itri
    -0.61
    luaj
    -0.60
    udeau
    -0.59
    POSITIVE LOGITS
     always
    0.91
     definitely
    0.86
    nt
    0.85
     usually
    0.85
     ALWAYS
    0.84
     paramount
    0.84
     hereby
    0.83
     not
    0.82
     supposed
    0.81
     NOT
    0.79
    Activations Density 0.296%

    No Known Activations