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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. 3-RES-JB
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    Explanations

    words containing the string "m" with a strong emphasis on the letter 'm'

    oai_token-act-pair · gpt-3.5-turbo

    instances of the letter 'm' in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.74
    DragonMagazine
    -0.71
     foul
    -0.68
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.65
     pitch
    -0.63
    */(
    -0.62
    IDER
    -0.61
    irtual
    -0.61
    gerald
    -0.60
     buzz
    -0.59
    POSITIVE LOGITS
    otor
    1.15
    ormon
    1.14
    ichael
    1.13
    asonry
    1.13
    ortal
    1.10
    obil
    1.10
    asonic
    1.07
    useum
    1.06
    ixed
    1.04
    aiden
    1.03
    Activations Density 0.061%

    No Known Activations