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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. 9-RES-JB
    11. 19398
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    INDEX
    Explanations

    phrases indicating potential or capacity for actions or qualities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating capability and potential

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aum
    -0.68
     Puzz
    -0.68
     disabling
    -0.67
     Advertisement
    -0.67
    Cath
    -0.66
    consuming
    -0.65
    quartered
    -0.65
    HD
    -0.64
     prohibitions
    -0.64
    cloth
    -0.63
    POSITIVE LOGITS
     thrive
    1.26
     compete
    1.26
     excel
    1.19
     overtake
    1.14
     steal
    1.13
     flourish
    1.13
     bounce
    1.12
     dominate
    1.12
     breakout
    1.11
     earn
    1.11
    Activations Density 0.281%

    No Known Activations