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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. 7924
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    Explanations

    phrases related to invitations or being invited

    oai_token-act-pair · gpt-3.5-turbo

    mentions of invitations or references to inviting events or people

    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
    ©¶æ
    -0.71
     Whitman
    -0.70
    bian
    -0.65
    hiba
    -0.64
     spare
    -0.64
    bard
    -0.60
    OPLE
    -0.60
     common
    -0.59
     separating
    -0.59
    ¥µ
    -0.58
    POSITIVE LOGITS
    incible
    1.44
    itations
    1.22
    oice
    1.17
    itational
    1.16
    itation
    1.15
    asion
    1.09
    ulnerable
    1.05
    olve
    1.01
    inv
    0.99
    ocation
    0.98
    Activations Density 0.007%

    No Known Activations