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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. 11090
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    Explanations

    phrases related to physical exertion or activity

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "ha" or variations indicating laughter or humor

    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
    é¾įå¥ij士
    -1.01
    âķIJ
    -0.82
    é¾įå
    -0.82
    orius
    -0.76
    oulos
    -0.74
    DragonMagazine
    -0.72
    geist
    -0.71
    heses
    -0.70
    sburg
    -0.70
    orio
    -0.69
    POSITIVE LOGITS
     ha
    1.08
    ugh
    1.06
    pless
    1.01
    uling
    0.89
    jj
    0.87
    vel
    0.82
    ahah
    0.82
    ves
    0.81
    ily
    0.80
    ilst
    0.80
    Activations Density 0.007%

    No Known Activations