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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. 12-RES-JB
    11. 4339
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    INDEX
    Explanations

    phrases related to social and political actions or stances

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    verbs indicating obligation or necessity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ò
    -0.83
    ONSORED
    -0.83
    ñ
    -0.81
    GGGGGGGG
    -0.76
    EStream
    -0.74
    OTT
    -0.73
     practition
    -0.73
    retty
    -0.72
    ÃĥÃĤÃĥÃĤ
    -0.72
    soDeliveryDate
    -0.71
    POSITIVE LOGITS
     organise
    1.44
     analyse
    1.32
     realise
    1.23
     fulfil
    1.18
     recognise
    1.10
     apologise
    1.08
     practise
    1.08
     intensify
    1.05
     inaug
    1.05
     arrange
    1.03
    Activations Density 0.416%

    No Known Activations