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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. 7-RES-JB
    11. 11420
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    Explanations

    occurrences related to invitations or invitations to events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "inv" in various forms, indicating a focus on specific invitations or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ħ¢
    -0.79
    Ĥ¬
    -0.72
    grass
    -0.69
     cleaner
    -0.68
     fab
    -0.67
     Depths
    -0.67
    bian
    -0.67
    dress
    -0.67
     horizontally
    -0.66
    THER
    -0.65
    POSITIVE LOGITS
    itations
    1.39
    itational
    1.36
    incible
    1.32
    igor
    1.29
    itation
    1.27
    ocation
    1.23
    asion
    1.22
    oice
    1.19
    ulnerable
    1.17
    asions
    1.16
    Activations Density 0.018%

    No Known Activations