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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. 1-RES-JB
    11. 7265
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    Explanations

    words related to technical procedures or instructions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "with" and the phrase "which"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     srfAttach
    -0.63
     impe
    -0.63
     densely
    -0.62
     fasc
    -0.61
     batt
    -0.60
     gun
    -0.60
     hypothal
    -0.59
     superst
    -0.58
     kin
    -0.58
     Kw
    -0.58
    POSITIVE LOGITS
    etheless
    1.18
    theless
    1.18
    terday
    1.17
    ãĤ´ãĥ³
    0.92
    rontal
    0.91
    selves
    0.90
    mosp
    0.90
    tenance
    0.89
    folios
    0.88
    bsite
    0.87
    Activations Density 0.095%

    No Known Activations