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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. 6-RES-JB
    11. 16936
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    Explanations

    future tense verbs or expressions

    oai_token-act-pair · gpt-3.5-turbo

    patterns of conditional phrasing and future predictions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     selves
    -0.69
    perty
    -0.68
     inspecting
    -0.63
    opez
    -0.61
     cones
    -0.60
    bats
    -0.60
    seys
    -0.59
     curses
    -0.58
    selves
    -0.58
     maid
    -0.57
    POSITIVE LOGITS
     blat
    0.76
     happen
    0.75
     happened
    0.74
     happening
    0.72
     happ
    0.70
     entail
    0.70
     happens
    0.69
     explan
    0.67
    OUP
    0.64
     misunder
    0.64
    Activations Density 0.126%

    No Known Activations