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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. 21515
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    INDEX
    Explanations

    phrases related to adding something positive or beneficial to a situation

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a sense of purpose or intention

    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
    avior
    -0.80
     Advertisement
    -0.75
    afety
    -0.64
    mods
    -0.63
    ecause
    -0.62
     dilig
    -0.62
    AAAAAAAA
    -0.61
    TION
    -0.58
    º
    -0.58
    Va
    -0.57
    POSITIVE LOGITS
     humankind
    0.73
     mankind
    0.72
     resolve
    0.66
     accompany
    0.66
    osi
    0.66
     enhance
    0.62
     wearer
    0.62
    tones
    0.61
    onica
    0.61
     grips
    0.61
    Activations Density 0.166%

    No Known Activations