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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. 4094
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    Explanations

    terms related to trends and increases

    oai_token-act-pair · gpt-3.5-turbo

    topics related to economic trends and growth

    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
     oath
    -0.82
     purity
    -0.76
     Duchess
    -0.74
     kits
    -0.68
     confessions
    -0.68
     Oath
    -0.67
     voic
    -0.66
     Pack
    -0.65
     commandments
    -0.63
     Kits
    -0.63
    POSITIVE LOGITS
     coincided
    1.21
     accelerating
    1.12
     coincides
    1.05
     paralle
    1.04
    acerb
    1.02
     accelerated
    1.01
     accelerate
    1.01
     attributable
    1.00
     exacerbated
    1.00
    celer
    0.97
    Activations Density 0.543%

    No Known Activations