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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. 10-RES-JB
    11. 12350
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    INDEX
    Explanations

    descriptive adjectives and phrases that evaluate something positively or negatively

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to strong emotions or impactful experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    umbn
    -0.76
    rongh
    -0.72
    lication
    -0.70
    estine
    -0.68
    SPONSORED
    -0.67
    ousands
    -0.67
    igion
    -0.67
    ependence
    -0.66
    asury
    -0.65
    Roaming
    -0.65
    POSITIVE LOGITS
     huh
    1.69
     eh
    1.57
    !
    1.21
    !!
    1.19
    ?!
    1.18
    !?
    1.15
    !!!!
    1.13
     indeed
    1.11
    !!!
    1.10
     tho
    1.09
    Activations Density 0.353%

    No Known Activations