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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. 0-RES-JB
    6. 10544
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    Explanations

    phrases related to interruptions or emphasis in a text

    oai_token-act-pair · gpt-3.5-turbo

    sections or elements that are separated by a delimiter

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     behavioural
    -0.95
     colourful
    -0.92
     ÂŃ
    -0.85
     favourite
    -0.85
     aluminium
    -0.84
     analys
    -0.84
     colour
    -0.81
     analyse
    -0.81
     humour
    -0.80
     realise
    -0.80
    POSITIVE LOGITS
    --
    3.73
    )--
    2.68
    ---
    2.50
    !--
    2.29
    .--
    2.27
    ----
    2.20
     --
    2.07
    -----
    1.89
     ``
    1.80
    -->
    1.78
    Activations Density 0.010%

    No Known Activations