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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. 3-RES-JB
    11. 4871
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    Explanations

    phrases related to describing or specifying actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to laying out plans or rules

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Cosponsors
    -0.86
    catentry
    -0.74
     Probe
    -0.63
    wcsstore
    -0.60
    chlor
    -0.60
     microscope
    -0.60
     Marlins
    -0.60
     Sigma
    -0.59
    ovi
    -0.58
    NY
    -0.57
    POSITIVE LOGITS
    ACTED
    0.71
     deaf
    0.67
     foundations
    0.67
     groundwork
    0.67
     sheets
    0.67
     abl
    0.66
     srfAttach
    0.66
    neck
    0.64
    qqa
    0.63
    wn
    0.62
    Activations Density 0.122%

    No Known Activations