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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. 4-RES-JB
    11. 15755
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    Explanations

    names or terms related to people or places

    oai_token-act-pair · gpt-3.5-turbo

    the letter 'l'

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

    No Comments

    Negative Logits
    ħĭ
    -0.67
    éĹĺ
    -0.66
    ãĥ¯ãĥ³
    -0.65
     constitu
    -0.65
     stoked
    -0.65
     tremend
    -0.64
    ãĥ¼ãĥĨãĤ£
    -0.63
    EStream
    -0.62
     Primal
    -0.60
     hemor
    -0.60
    POSITIVE LOGITS
    ayers
    1.24
    azy
    1.18
    ifestyle
    1.13
    yrics
    1.13
    ibraries
    1.13
    oyd
    1.10
    ounge
    1.08
    ateral
    1.07
    asso
    1.07
    adders
    1.07
    Activations Density 0.033%

    No Known Activations