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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. 4-RES-JB
    6. 4796
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    Explanations

    phrases related to dealing with challenges or obstacles

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "in the face of" in varying contexts

    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
    attach
    -0.73
    orsi
    -0.72
    isl
    -0.70
    vez
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    ISE
    -0.65
    Member
    -0.64
    redit
    -0.64
    irlf
    -0.63
    avorite
    -0.62
    yssey
    -0.62
    POSITIVE LOGITS
     thereof
    0.86
     Testament
    0.67
    crow
    0.63
     face
    0.63
     faced
    0.63
    ãĤ®
    0.63
    )=(
    0.62
    face
    0.62
    nings
    0.62
    ãĤ°
    0.62
    Activations Density 0.020%

    No Known Activations