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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. 9-RES-JB
    6. 19029
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    INDEX
    Explanations

    qualifiers indicating a high degree of emotion or physical state

    oai_token-act-pair · gpt-3.5-turbo

    intensifiers or modifiers expressing strong emotions or feelings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ð
    -0.76
    any
    -0.71
     Combine
    -0.69
    çķ
    -0.69
    ulence
    -0.69
    ãĥ¯
    -0.65
     Landing
    -0.65
    oras
    -0.65
     Fail
    -0.63
    yles
    -0.63
    POSITIVE LOGITS
     pleased
    1.52
     thankful
    1.51
     grateful
    1.49
     excited
    1.44
     confident
    1.44
     proud
    1.42
     aware
    1.40
     impressed
    1.39
     thrilled
    1.37
     nervous
    1.36
    Activations Density 0.164%

    No Known Activations