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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. 15746
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    Explanations

    references to events or activities involving invitations or invigorating actions

    oai_token-act-pair · gpt-3.5-turbo

    references to invitations or being invited

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Whitman
    -0.76
    bard
    -0.70
    bian
    -0.68
    ©¶æ
    -0.67
    Ħ¢
    -0.66
     horizontally
    -0.64
    beard
    -0.64
    hiba
    -0.62
    Ĥ¬
    -0.61
     common
    -0.61
    POSITIVE LOGITS
    incible
    1.38
    itations
    1.19
    oice
    1.19
    itational
    1.16
    itation
    1.15
    asion
    1.15
    olve
    1.05
    ited
    1.05
    ulnerable
    1.04
    inv
    1.03
    Activations Density 0.008%

    No Known Activations