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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. 4893
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    Explanations

    phrases related to preventing actions or interventions

    oai_token-act-pair · gpt-3.5-turbo

    instances of phrases related to prevention

    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
    bush
    -0.83
    soDeliveryDate
    -0.77
    MON
    -0.75
    KC
    -0.70
    é¾įåĸļ士
    -0.68
    chin
    -0.67
    aic
    -0.66
    artisan
    -0.65
    wait
    -0.65
    tons
    -0.64
    POSITIVE LOGITS
     accessing
    1.19
     reaching
    1.17
     becoming
    1.15
     being
    1.12
     completing
    1.11
     entering
    1.08
     getting
    1.07
     obtaining
    1.07
     harming
    1.07
     achieving
    1.05
    Activations Density 0.055%

    No Known Activations