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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. 2960
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    Explanations

    words related to decline or negative outcomes

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

    words and phrases related to sinking or decline

    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
    sylv
    -0.74
    reads
    -0.68
    burning
    -0.62
    kson
    -0.62
    alph
    -0.61
    grain
    -0.61
    email
    -0.61
    joining
    -0.60
    ullah
    -0.60
    ove
    -0.59
    POSITIVE LOGITS
     into
    0.91
     asleep
    0.91
     beneath
    0.85
     deeper
    0.81
    aciously
    0.81
     downwards
    0.80
     downward
    0.78
     knees
    0.77
     down
    0.77
     below
    0.75
    Activations Density 0.201%

    No Known Activations