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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. 2-RES-JB
    11. 11858
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    INDEX
    Explanations

    phrases related to disappointment or negative emotions

    oai_token-act-pair · gpt-3.5-turbo

    instances of emotional expressions related to frustration or discontent

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igraph
    -0.69
    printf
    -0.69
    ichen
    -0.65
    pr
    -0.65
    icycle
    -0.65
    omet
    -0.65
     abort
    -0.64
    opian
    -0.64
     intrins
    -0.63
    ichick
    -0.63
    POSITIVE LOGITS
    \":
    0.84
    */(
    0.83
    tenance
    0.80
     Ones
    0.77
     Aram
    0.73
    lihood
    0.73
    theless
    0.73
    ness
    0.69
    ointed
    0.69
    ths
    0.68
    Activations Density 0.041%

    No Known Activations