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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. 7-RES-JB
    11. 19270
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    Explanations

    phrases related to high stakes or extreme situations

    oai_token-act-pair · gpt-3.5-turbo

    key prepositions and contextually significant phrases related to action or connection

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HI
    -0.71
    mma
    -0.68
    abit
    -0.67
    ppa
    -0.66
    lb
    -0.63
    Enlarge
    -0.63
    OFF
    -0.61
    lp
    -0.59
    raq
    -0.58
    aukee
    -0.58
    POSITIVE LOGITS
     the
    0.84
    rontal
    0.82
    the
    0.74
     Corpus
    0.68
     Clyde
    0.64
     Icar
    0.63
    illary
    0.59
    ufact
    0.59
     Primordial
    0.59
    phabet
    0.58
    Activations Density 0.318%

    No Known Activations