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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. 6-RES-JB
    11. 11898
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    INDEX
    Explanations

    adjectives or verbs related to intense emotions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to deep emotional experiences and crises

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PDATED
    -0.70
    kees
    -0.69
    GS
    -0.68
    sell
    -0.66
    ggles
    -0.65
    CLASS
    -0.64
    NUM
    -0.64
    saf
    -0.64
    OWN
    -0.64
     moderators
    -0.63
    POSITIVE LOGITS
     depths
    1.13
     boiling
    1.04
     molten
    1.00
     fumes
    0.97
     fluids
    0.97
     liquids
    0.97
     saline
    0.95
     corros
    0.94
     sewage
    0.93
     reservoir
    0.91
    Activations Density 0.644%

    No Known Activations