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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. 14369
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    Explanations

    phrases related to attempting or trying to do something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to attempts or efforts to achieve something

    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
    âĶĢâĶĢâĶĢâĶĢ
    -0.67
    asca
    -0.65
    âĺħâĺħ
    -0.64
     gladly
    -0.63
     Definitely
    -0.60
     Sched
    -0.60
    æ©Ł
    -0.59
    ç«
    -0.59
    stadt
    -0.58
    éĸ
    -0.58
    POSITIVE LOGITS
    balance
    0.81
    uate
    0.81
    omething
    0.80
    imize
    0.72
     somew
    0.70
    escription
    0.68
    ifle
    0.68
     reconcile
    0.68
    ezvous
    0.66
    dress
    0.65
    Activations Density 0.270%

    No Known Activations